connectedComponents: warning free version
This commit is contained in:
Jason Newton
parent
4d059e9e5b
commit
45b4f4f32b
@ -1091,6 +1091,11 @@ enum { TM_SQDIFF=0, TM_SQDIFF_NORMED=1, TM_CCORR=2, TM_CCORR_NORMED=3, TM_CCOEFF
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CV_EXPORTS_W void matchTemplate( InputArray image, InputArray templ,
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CV_EXPORTS_W void matchTemplate( InputArray image, InputArray templ,
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OutputArray result, int method );
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OutputArray result, int method );
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//! computes the connected components labeled image of boolean image I with 4 or 8 way connectivity - returns N, the total
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//number of labels [0, N-1] where 0 represents the background label.
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CV_EXPORTS_W uint64_t connectedComponents(Mat &L, const Mat &I, int connectivity = 8);
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//! mode of the contour retrieval algorithm
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//! mode of the contour retrieval algorithm
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enum
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enum
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{
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{
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365
modules/imgproc/src/connectedcomponents.cpp
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365
modules/imgproc/src/connectedcomponents.cpp
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@ -0,0 +1,365 @@
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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// 2011 Jason Newton <nevion@gmail.com>
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//M*/
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//
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#include "precomp.hpp"
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namespace cv{
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namespace connectedcomponents{
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using std::vector;
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//Find the root of the tree of node i
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template<typename LabelT>
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inline static
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LabelT findRoot(const vector<LabelT> &P, LabelT i){
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LabelT root = i;
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while(P[root] < root){
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root = P[root];
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}
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return root;
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}
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//Make all nodes in the path of node i point to root
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template<typename LabelT>
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inline static
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void setRoot(vector<LabelT> &P, LabelT i, LabelT root){
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while(P[i] < i){
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LabelT j = P[i];
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P[i] = root;
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i = j;
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}
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P[i] = root;
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}
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//Find the root of the tree of the node i and compress the path in the process
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template<typename LabelT>
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inline static
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LabelT find(vector<LabelT> &P, LabelT i){
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LabelT root = findRoot(P, i);
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setRoot(P, i, root);
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return root;
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}
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//unite the two trees containing nodes i and j and return the new root
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template<typename LabelT>
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inline static
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LabelT set_union(vector<LabelT> &P, LabelT i, LabelT j){
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LabelT root = findRoot(P, i);
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if(i != j){
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LabelT rootj = findRoot(P, j);
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if(root > rootj){
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root = rootj;
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}
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setRoot(P, j, root);
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}
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setRoot(P, i, root);
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return root;
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}
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//Flatten the Union Find tree and relabel the components
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template<typename LabelT>
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inline static
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LabelT flattenL(vector<LabelT> &P){
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LabelT k = 1;
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for(size_t i = 1; i < P.size(); ++i){
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if(P[i] < i){
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P[i] = P[P[i]];
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}else{
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P[i] = k; k = k + 1;
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}
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}
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return k;
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}
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////Flatten the Union Find tree - inconsistent labels
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//void flatten(int P[], int size){
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// for(int i = 1; i < size; ++i){
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// P[i] = P[P[i]];
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// }
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//}
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const int G4[2][2] = {{-1, 0}, {0, -1}};//b, d neighborhoods
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const int G8[4][2] = {{-1, -1}, {-1, 0}, {-1, 1}, {0, -1}};//a, b, c, d neighborhoods
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//Based on "Two Strategies to Speed up Connected Components Algorithms", the SAUF (Scan array union find) variant
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//using decision trees
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//Kesheng Wu, et al
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template<typename LabelT, typename PixelT, int connectivity = 8>
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struct LabelingImpl{
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LabelT operator()(Mat &L, const Mat &I){
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const int rows = L.rows;
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const int cols = L.cols;
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size_t nPixels = size_t(rows) * cols;
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vector<LabelT> P; P.push_back(0);
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LabelT l = 1;
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//scanning phase
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for(int r_i = 0; r_i < rows; ++r_i){
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for(int c_i = 0; c_i < cols; ++c_i){
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if(!I.at<PixelT>(r_i, c_i)){
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L.at<LabelT>(r_i, c_i) = 0;
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continue;
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}
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if(connectivity == 8){
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const int a = 0;
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const int b = 1;
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const int c = 2;
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const int d = 3;
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bool T[4];
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for(size_t i = 0; i < 4; ++i){
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int gr = r_i + G8[i][0];
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int gc = c_i + G8[i][1];
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T[i] = false;
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if(gr >= 0 && gr < rows && gc >= 0 && gc < cols){
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if(I.at<PixelT>(gr, gc)){
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T[i] = true;
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}
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}
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}
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//decision tree
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if(T[b]){
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//copy(b)
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L.at<LabelT>(r_i, c_i) = L.at<LabelT>(r_i + G8[b][0], c_i + G8[b][1]);
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}else{//not b
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if(T[c]){
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if(T[a]){
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//copy(c, a)
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L.at<LabelT>(r_i, c_i) = set_union(P, L.at<LabelT>(r_i + G8[c][0], c_i + G8[c][1]), L.at<LabelT>(r_i + G8[a][0], c_i + G8[a][1]));
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}else{
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if(T[d]){
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//copy(c, d)
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L.at<LabelT>(r_i, c_i) = set_union(P, L.at<LabelT>(r_i + G8[c][0], c_i + G8[c][1]), L.at<LabelT>(r_i + G8[d][0], c_i + G8[d][1]));
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}else{
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//copy(c)
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L.at<LabelT>(r_i, c_i) = L.at<LabelT>(r_i + G8[c][0], c_i + G8[c][1]);
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}
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}
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}else{//not c
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if(T[a]){
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//copy(a)
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L.at<LabelT>(r_i, c_i) = L.at<LabelT>(r_i + G8[a][0], c_i + G8[a][1]);
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}else{
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if(T[d]){
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//copy(d)
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L.at<LabelT>(r_i, c_i) = L.at<LabelT>(r_i + G8[d][0], c_i + G8[d][1]);
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}else{
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//new label
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L.at<LabelT>(r_i, c_i) = l;
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P.push_back(l);//P[l] = l;
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l = l + 1;
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}
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}
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}
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}
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}else{
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//B & D only
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const int b = 0;
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const int d = 1;
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assert(connectivity == 4);
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bool T[2];
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for(size_t i = 0; i < 2; ++i){
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int gr = r_i + G4[i][0];
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int gc = c_i + G4[i][1];
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T[i] = false;
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if(gr >= 0 && gr < rows && gc >= 0 && gc < cols){
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if(I.at<PixelT>(gr, gc)){
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T[i] = true;
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}
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}
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}
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if(T[b]){
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if(T[d]){
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//copy(d, b)
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L.at<LabelT>(r_i, c_i) = set_union(P, L.at<LabelT>(r_i + G4[d][0], c_i + G4[d][1]), L.at<LabelT>(r_i + G4[b][0], c_i + G4[b][1]));
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}else{
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//copy(b)
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L.at<LabelT>(r_i, c_i) = L.at<LabelT>(r_i + G4[b][0], c_i + G4[b][1]);
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}
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}else{
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if(T[d]){
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//copy(d)
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L.at<LabelT>(r_i, c_i) = L.at<LabelT>(r_i + G4[d][0], c_i + G4[d][1]);
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}else{
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//new label
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L.at<LabelT>(r_i, c_i) = l;
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P.push_back(l);//P[l] = l;
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l = l + 1;
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}
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}
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}
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}
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}
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//analysis
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LabelT nLabels = flattenL(P);
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//assign final labels
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for(size_t r = 0; r < rows; ++r){
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for(size_t c = 0; c < cols; ++c){
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L.at<LabelT>(r, c) = P[L.at<LabelT>(r, c)];
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}
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}
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return nLabels;
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}//End function LabelingImpl operator()
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};//End struct LabelingImpl
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}//end namespace connectedcomponents
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//L's type must have an appropriate depth for the number of pixels in I
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uint64_t connectedComponents(Mat &L, const Mat &I, int connectivity){
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CV_Assert(L.rows == I.rows);
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CV_Assert(L.cols == I.cols);
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CV_Assert(L.channels() == 1 && I.channels() == 1);
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CV_Assert(connectivity == 8 || connectivity == 4);
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int lDepth = L.depth();
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int iDepth = I.depth();
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using connectedcomponents::LabelingImpl;
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//warn if L's depth is not sufficient?
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if(lDepth == CV_8U){
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if(iDepth == CV_8U || iDepth == CV_8S){
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if(connectivity == 4){
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return (uint64_t) LabelingImpl<uint8_t, uint8_t, 4>()(L, I);
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}else{
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return (uint64_t) LabelingImpl<uint8_t, uint8_t, 8>()(L, I);
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}
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}else if(iDepth == CV_16U || iDepth == CV_16S){
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if(connectivity == 4){
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return (uint64_t) LabelingImpl<uint8_t, uint16_t, 4>()(L, I);
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}else{
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return (uint64_t) LabelingImpl<uint8_t, uint16_t, 8>()(L, I);
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}
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}else if(iDepth == CV_32S){
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if(connectivity == 4){
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return (uint64_t) LabelingImpl<uint8_t, int32_t, 4>()(L, I);
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}else{
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return (uint64_t) LabelingImpl<uint8_t, int32_t, 8>()(L, I);
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}
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}else if(iDepth == CV_32F){
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if(connectivity == 4){
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return (uint64_t) LabelingImpl<uint8_t, float, 4>()(L, I);
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}else{
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return (uint64_t) LabelingImpl<uint8_t, float, 8>()(L, I);
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}
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}else if(iDepth == CV_64F){
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if(connectivity == 4){
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return (uint64_t) LabelingImpl<uint8_t, double, 4>()(L, I);
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}else{
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return (uint64_t) LabelingImpl<uint8_t, double, 8>()(L, I);
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}
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}
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}else if(lDepth == CV_16U){
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if(iDepth == CV_8U || iDepth == CV_8S){
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if(connectivity == 4){
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return (uint64_t) LabelingImpl<uint16_t, uint8_t, 4>()(L, I);
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}else{
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return (uint64_t) LabelingImpl<uint16_t, uint8_t, 8>()(L, I);
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}
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}else if(iDepth == CV_16U || iDepth == CV_16S){
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if(connectivity == 4){
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return (uint64_t) LabelingImpl<uint16_t, uint16_t, 4>()(L, I);
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}else{
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return (uint64_t) LabelingImpl<uint16_t, uint16_t, 8>()(L, I);
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}
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}else if(iDepth == CV_32S){
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if(connectivity == 4){
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return (uint64_t) LabelingImpl<uint16_t, int32_t, 4>()(L, I);
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}else{
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return (uint64_t) LabelingImpl<uint16_t, int32_t, 8>()(L, I);
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}
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}else if(iDepth == CV_32F){
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if(connectivity == 4){
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return (uint64_t) LabelingImpl<uint16_t, float, 4>()(L, I);
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}else{
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return (uint64_t) LabelingImpl<uint16_t, float, 8>()(L, I);
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}
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}else if(iDepth == CV_64F){
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if(connectivity == 4){
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return (uint64_t) LabelingImpl<uint16_t, double, 4>()(L, I);
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}else{
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return (uint64_t) LabelingImpl<uint16_t, double, 8>()(L, I);
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}
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}
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}else if(lDepth == CV_32S){
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if(iDepth == CV_8U || iDepth == CV_8S){
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if(connectivity == 4){
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return (uint64_t) LabelingImpl<int32_t, uint8_t, 4>()(L, I);
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}else{
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return (uint64_t) LabelingImpl<int32_t, uint8_t, 8>()(L, I);
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}
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}else if(iDepth == CV_16U || iDepth == CV_16S){
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if(connectivity == 4){
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return (uint64_t) LabelingImpl<int32_t, uint16_t, 4>()(L, I);
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}else{
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|
return (uint64_t) LabelingImpl<int32_t, uint16_t, 8>()(L, I);
|
||||||
|
}
|
||||||
|
}else if(iDepth == CV_32S){
|
||||||
|
if(connectivity == 4){
|
||||||
|
return (uint64_t) LabelingImpl<int32_t, int32_t, 4>()(L, I);
|
||||||
|
}else{
|
||||||
|
return (uint64_t) LabelingImpl<int32_t, int32_t, 8>()(L, I);
|
||||||
|
}
|
||||||
|
}else if(iDepth == CV_32F){
|
||||||
|
if(connectivity == 4){
|
||||||
|
return (uint64_t) LabelingImpl<int32_t, float, 4>()(L, I);
|
||||||
|
}else{
|
||||||
|
return (uint64_t) LabelingImpl<int32_t, float, 8>()(L, I);
|
||||||
|
}
|
||||||
|
}else if(iDepth == CV_64F){
|
||||||
|
if(connectivity == 4){
|
||||||
|
return (uint64_t) LabelingImpl<int32_t, double, 4>()(L, I);
|
||||||
|
}else{
|
||||||
|
return (uint64_t) LabelingImpl<int32_t, double, 8>()(L, I);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
CV_Error(CV_StsUnsupportedFormat, "unsupported label/image type");
|
||||||
|
return -1;
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
@ -11,25 +11,21 @@ int threshval = 100;
|
|||||||
static void on_trackbar(int, void*)
|
static void on_trackbar(int, void*)
|
||||||
{
|
{
|
||||||
Mat bw = threshval < 128 ? (img < threshval) : (img > threshval);
|
Mat bw = threshval < 128 ? (img < threshval) : (img > threshval);
|
||||||
|
Mat labelImage(img.size(), CV_32S);
|
||||||
vector<vector<Point> > contours;
|
int nLabels = connectedComponents(labelImage, bw, 8);
|
||||||
vector<Vec4i> hierarchy;
|
Vec3b colors[nLabels];
|
||||||
|
colors[0] = Vec3b(0, 0, 0);//background
|
||||||
findContours( bw, contours, hierarchy, CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE );
|
for(int label = 1; label < nLabels; ++label){
|
||||||
|
colors[label] = Vec3b( (rand()&255), (rand()&255), (rand()&255) );
|
||||||
Mat dst = Mat::zeros(img.size(), CV_8UC3);
|
|
||||||
|
|
||||||
if( !contours.empty() && !hierarchy.empty() )
|
|
||||||
{
|
|
||||||
// iterate through all the top-level contours,
|
|
||||||
// draw each connected component with its own random color
|
|
||||||
int idx = 0;
|
|
||||||
for( ; idx >= 0; idx = hierarchy[idx][0] )
|
|
||||||
{
|
|
||||||
Scalar color( (rand()&255), (rand()&255), (rand()&255) );
|
|
||||||
drawContours( dst, contours, idx, color, CV_FILLED, 8, hierarchy );
|
|
||||||
}
|
|
||||||
}
|
}
|
||||||
|
Mat dst(img.size(), CV_8UC3);
|
||||||
|
for(int r = 0; r < dst.rows; ++r){
|
||||||
|
for(int c = 0; c < dst.cols; ++c){
|
||||||
|
int label = labelImage.at<int>(r, c);
|
||||||
|
Vec3b &pixel = dst.at<Vec3b>(r, c);
|
||||||
|
pixel = colors[label];
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
imshow( "Connected Components", dst );
|
imshow( "Connected Components", dst );
|
||||||
}
|
}
|
||||||
|
|||||||
Loading…
x
Reference in New Issue
Block a user