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Code Packages Releases Wiki Activity

Merge branch 4.x

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This commit is contained in:
Alexander Alekhin
2022-08-21 14:55:48 +00:00
parent 99d216c8d4 925ff6241f
commit c25f776151
538 changed files with 84703 additions and 5374 deletions
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doc/tutorials/imgproc/imgtrans/hough_circle/hough_circle.markdown
+12 -12
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@@ -81,11 +81,11 @@ The image we used can be found [here](https://raw.githubusercontent.com/opencv/o
@end_toggle
@add_toggle_java
@snippet samples/python/tutorial_code/ImgTrans/HoughCircle/hough_circle.py load
@snippet samples/java/tutorial_code/ImgTrans/HoughCircle/HoughCircles.java load
@end_toggle
@add_toggle_python
@snippet samples/java/tutorial_code/ImgTrans/HoughCircle/HoughCircles.java load
@snippet samples/python/tutorial_code/ImgTrans/HoughCircle/hough_circle.py load
@end_toggle
#### Convert it to grayscale:
@@ -95,11 +95,11 @@ The image we used can be found [here](https://raw.githubusercontent.com/opencv/o
@end_toggle
@add_toggle_java
@snippet samples/python/tutorial_code/ImgTrans/HoughCircle/hough_circle.py convert_to_gray
@snippet samples/java/tutorial_code/ImgTrans/HoughCircle/HoughCircles.java convert_to_gray
@end_toggle
@add_toggle_python
@snippet samples/java/tutorial_code/ImgTrans/HoughCircle/HoughCircles.java convert_to_gray
@snippet samples/python/tutorial_code/ImgTrans/HoughCircle/hough_circle.py convert_to_gray
@end_toggle
#### Apply a Median blur to reduce noise and avoid false circle detection:
@@ -109,11 +109,11 @@ The image we used can be found [here](https://raw.githubusercontent.com/opencv/o
@end_toggle
@add_toggle_java
@snippet samples/python/tutorial_code/ImgTrans/HoughCircle/hough_circle.py reduce_noise
@snippet samples/java/tutorial_code/ImgTrans/HoughCircle/HoughCircles.java reduce_noise
@end_toggle
@add_toggle_python
@snippet samples/java/tutorial_code/ImgTrans/HoughCircle/HoughCircles.java reduce_noise
@snippet samples/python/tutorial_code/ImgTrans/HoughCircle/hough_circle.py reduce_noise
@end_toggle
#### Proceed to apply Hough Circle Transform:
@@ -123,11 +123,11 @@ The image we used can be found [here](https://raw.githubusercontent.com/opencv/o
@end_toggle
@add_toggle_java
@snippet samples/python/tutorial_code/ImgTrans/HoughCircle/hough_circle.py houghcircles
@snippet samples/java/tutorial_code/ImgTrans/HoughCircle/HoughCircles.java houghcircles
@end_toggle
@add_toggle_python
@snippet samples/java/tutorial_code/ImgTrans/HoughCircle/HoughCircles.java houghcircles
@snippet samples/python/tutorial_code/ImgTrans/HoughCircle/hough_circle.py houghcircles
@end_toggle
- with the arguments:
@@ -151,11 +151,11 @@ The image we used can be found [here](https://raw.githubusercontent.com/opencv/o
@end_toggle
@add_toggle_java
@snippet samples/python/tutorial_code/ImgTrans/HoughCircle/hough_circle.py draw
@snippet samples/java/tutorial_code/ImgTrans/HoughCircle/HoughCircles.java draw
@end_toggle
@add_toggle_python
@snippet samples/java/tutorial_code/ImgTrans/HoughCircle/HoughCircles.java draw
@snippet samples/python/tutorial_code/ImgTrans/HoughCircle/hough_circle.py draw
@end_toggle
You can see that we will draw the circle(s) on red and the center(s) with a small green dot
@@ -167,11 +167,11 @@ You can see that we will draw the circle(s) on red and the center(s) with a smal
@end_toggle
@add_toggle_java
@snippet samples/python/tutorial_code/ImgTrans/HoughCircle/hough_circle.py display
@snippet samples/java/tutorial_code/ImgTrans/HoughCircle/HoughCircles.java display
@end_toggle
@add_toggle_python
@snippet samples/java/tutorial_code/ImgTrans/HoughCircle/HoughCircles.java display
@snippet samples/python/tutorial_code/ImgTrans/HoughCircle/hough_circle.py display
@end_toggle
Result
doc/tutorials/imgproc/morph_lines_detection/morph_lines_detection.md
+1 -1
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@@ -130,7 +130,7 @@ Get image from [here](https://raw.githubusercontent.com/opencv/opencv/5.x/doc/tu
#### Output images
Now we are ready to apply morphological operations in order to extract the horizontal and vertical lines and as a consequence to separate the the music notes from the music sheet, but first let's initialize the output images that we will use for that reason:
Now we are ready to apply morphological operations in order to extract the horizontal and vertical lines and as a consequence to separate the music notes from the music sheet, but first let's initialize the output images that we will use for that reason:
@add_toggle_cpp
@snippet samples/cpp/tutorial_code/ImgProc/morph_lines_detection/Morphology_3.cpp init