mirror of
https://github.com/opencv/opencv.git
synced 2026-07-31 00:03:03 +04:00
Add Java and Python code for the following imgproc tutorials: Canny, Remap, threshold and threshold inRange. Use HSV colorspace instead of RGB for inRange threshold tutorial.
This commit is contained in:
catree
@@ -96,43 +96,101 @@ Thresholding?
|
||||
Code
|
||||
----
|
||||
|
||||
@add_toggle_cpp
|
||||
The tutorial code's is shown lines below. You can also download it from
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ImgProc/Threshold.cpp)
|
||||
@include samples/cpp/tutorial_code/ImgProc/Threshold.cpp
|
||||
@end_toggle
|
||||
|
||||
@add_toggle_java
|
||||
The tutorial code's is shown lines below. You can also download it from
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/java/tutorial_code/ImgProc/threshold/Threshold.java)
|
||||
@include samples/java/tutorial_code/ImgProc/threshold/Threshold.java
|
||||
@end_toggle
|
||||
|
||||
@add_toggle_python
|
||||
The tutorial code's is shown lines below. You can also download it from
|
||||
[here](https://github.com/opencv/opencv/tree/master/samples/python/tutorial_code/imgProc/threshold/threshold.py)
|
||||
@include samples/python/tutorial_code/imgProc/threshold/threshold.py
|
||||
@end_toggle
|
||||
|
||||
Explanation
|
||||
-----------
|
||||
|
||||
-# Let's check the general structure of the program:
|
||||
- Load an image. If it is BGR we convert it to Grayscale. For this, remember that we can use
|
||||
Let's check the general structure of the program:
|
||||
- Load an image. If it is BGR we convert it to Grayscale. For this, remember that we can use
|
||||
the function @ref cv::cvtColor :
|
||||
@snippet cpp/tutorial_code/ImgProc/Threshold.cpp load
|
||||
|
||||
- Create a window to display the result
|
||||
@snippet cpp/tutorial_code/ImgProc/Threshold.cpp window
|
||||
@add_toggle_cpp
|
||||
@snippet samples/cpp/tutorial_code/ImgProc/Threshold.cpp load
|
||||
@end_toggle
|
||||
|
||||
- Create \f$2\f$ trackbars for the user to enter user input:
|
||||
@add_toggle_java
|
||||
@snippet samples/java/tutorial_code/ImgProc/threshold/Threshold.java load
|
||||
@end_toggle
|
||||
|
||||
- **Type of thresholding**: Binary, To Zero, etc...
|
||||
- **Threshold value**
|
||||
@snippet cpp/tutorial_code/ImgProc/Threshold.cpp trackbar
|
||||
@add_toggle_python
|
||||
@snippet samples/python/tutorial_code/imgProc/threshold/threshold.py load
|
||||
@end_toggle
|
||||
|
||||
- Wait until the user enters the threshold value, the type of thresholding (or until the
|
||||
program exits)
|
||||
- Whenever the user changes the value of any of the Trackbars, the function *Threshold_Demo*
|
||||
is called:
|
||||
@snippet cpp/tutorial_code/ImgProc/Threshold.cpp Threshold_Demo
|
||||
- Create a window to display the result
|
||||
|
||||
As you can see, the function @ref cv::threshold is invoked. We give \f$5\f$ parameters:
|
||||
@add_toggle_cpp
|
||||
@snippet samples/cpp/tutorial_code/ImgProc/Threshold.cpp window
|
||||
@end_toggle
|
||||
|
||||
- *src_gray*: Our input image
|
||||
- *dst*: Destination (output) image
|
||||
- *threshold_value*: The \f$thresh\f$ value with respect to which the thresholding operation
|
||||
is made
|
||||
- *max_BINARY_value*: The value used with the Binary thresholding operations (to set the
|
||||
chosen pixels)
|
||||
- *threshold_type*: One of the \f$5\f$ thresholding operations. They are listed in the
|
||||
comment section of the function above.
|
||||
@add_toggle_java
|
||||
@snippet samples/java/tutorial_code/ImgProc/threshold/Threshold.java window
|
||||
@end_toggle
|
||||
|
||||
@add_toggle_python
|
||||
@snippet samples/python/tutorial_code/imgProc/threshold/threshold.py window
|
||||
@end_toggle
|
||||
|
||||
- Create \f$2\f$ trackbars for the user to enter user input:
|
||||
|
||||
- **Type of thresholding**: Binary, To Zero, etc...
|
||||
- **Threshold value**
|
||||
|
||||
@add_toggle_cpp
|
||||
@snippet samples/cpp/tutorial_code/ImgProc/Threshold.cpp trackbar
|
||||
@end_toggle
|
||||
|
||||
@add_toggle_java
|
||||
@snippet samples/java/tutorial_code/ImgProc/threshold/Threshold.java trackbar
|
||||
@end_toggle
|
||||
|
||||
@add_toggle_python
|
||||
@snippet samples/python/tutorial_code/imgProc/threshold/threshold.py trackbar
|
||||
@end_toggle
|
||||
|
||||
- Wait until the user enters the threshold value, the type of thresholding (or until the
|
||||
program exits)
|
||||
- Whenever the user changes the value of any of the Trackbars, the function *Threshold_Demo*
|
||||
(*update* in Java) is called:
|
||||
|
||||
@add_toggle_cpp
|
||||
@snippet samples/cpp/tutorial_code/ImgProc/Threshold.cpp Threshold_Demo
|
||||
@end_toggle
|
||||
|
||||
@add_toggle_java
|
||||
@snippet samples/java/tutorial_code/ImgProc/threshold/Threshold.java Threshold_Demo
|
||||
@end_toggle
|
||||
|
||||
@add_toggle_python
|
||||
@snippet samples/python/tutorial_code/imgProc/threshold/threshold.py Threshold_Demo
|
||||
@end_toggle
|
||||
|
||||
As you can see, the function @ref cv::threshold is invoked. We give \f$5\f$ parameters in C++ code:
|
||||
|
||||
- *src_gray*: Our input image
|
||||
- *dst*: Destination (output) image
|
||||
- *threshold_value*: The \f$thresh\f$ value with respect to which the thresholding operation
|
||||
is made
|
||||
- *max_BINARY_value*: The value used with the Binary thresholding operations (to set the
|
||||
chosen pixels)
|
||||
- *threshold_type*: One of the \f$5\f$ thresholding operations. They are listed in the
|
||||
comment section of the function above.
|
||||
|
||||
Results
|
||||
-------
|
||||
|
||||
Reference in New Issue
Block a user