Merge pull request #6305 from rishirajsurti:master

doc/tutorials/imgproc/table_of_content_imgproc.markdown

@@ -51,6 +51,14 @@ In this section you will learn about the image processing (manipulation) functio
 
     After so much processing, it is time to decide which pixels stay!
 
+-   @subpage tutorial_threshold_inRange
+
+    *Compatibility:* \> OpenCV 2.0
+
+    *Author:* Rishiraj Surti
+
+    Thresholding operations using inRange function.
+
 -   @subpage tutorial_filter_2d
 
     *Compatibility:* \> OpenCV 2.0

doc/tutorials/imgproc/threshold_inRange/threshold_inRange.markdown

@@ -0,0 +1,56 @@
+Thresholding Operations using inRange {#tutorial_threshold_inRange}
+=============================
+
+Goal
+----
+
+In this tutorial you will learn how to:
+
+-   Perform basic thresholding operations using OpenCV function @ref cv::inRange
+-   Detect an object based on the range of pixel values it has
+
+Theory
+-----------
+-   In the previous tutorial, we learnt how perform thresholding using @ref cv::threshold function.
+-   In this tutorial, we will learn how to do it using @ref cv::inRange function.
+-   The concept remains same, but now we add a range of pixel values we need.
+
+Code
+----
+
+The tutorial code's is shown lines below. You can also download it from
+[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/ImgProc/Threshold_inRange.cpp)
+@include samples/cpp/tutorial_code/ImgProc/Threshold_inRange.cpp
+
+Explanation
+-----------
+
+-#  Let's check the general structure of the program:
+    -   Create two Matrix elements to store the frames
+        @snippet samples/cpp/tutorial_code/ImgProc/Threshold_inRange.cpp mat
+    -   Capture the video stream from default capturing device.
+        @snippet samples/cpp/tutorial_code/ImgProc/Threshold_inRange.cpp cap
+    -   Create a window to display the default frame and the threshold frame.
+        @snippet samples/cpp/tutorial_code/ImgProc/Threshold_inRange.cpp window
+    -   Create trackbars to set the range of RGB values
+        @snippet samples/cpp/tutorial_code/ImgProc/Threshold_inRange.cpp trackbar
+    -   Until the user want the program to exit do the following
+        @snippet samples/cpp/tutorial_code/ImgProc/Threshold_inRange.cpp while
+    -   Show the images
+        @snippet samples/cpp/tutorial_code/ImgProc/Threshold_inRange.cpp show
+    -   For a trackbar which controls the lower range, say for example Red value:
+        @snippet samples/cpp/tutorial_code/ImgProc/Threshold_inRange.cpp low
+    -   For a trackbar which controls the upper range, say for example Red value:
+        @snippet samples/cpp/tutorial_code/ImgProc/Threshold_inRange.cpp high
+    -   It is necessary to find the maximum and minimum value to avoid discrepancies such as
+        the high value of threshold becoming less the low value.
+
+Results
+-------
+
+-#  After compiling this program, run it. The program will open two windows
+
+-#  As you set the RGB range values from the trackbar, the resulting frame will be visible in the other window.
+
+    ![](images/Threshold_inRange_Tutorial_Result_input.jpeg)
+    ![](images/Threshold_inRange_Tutorial_Result_output.jpeg)