- What is active contour method?
- What is contour in OpenCV?
- How do you find the contours in OpenCV Python?
- How does OpenCV contour detection work?
What is active contour method?
The active contours technique, also called snakes, is an iterative region-growing image segmentation algorithm. Using the active contour algorithm, you specify initial curves on an image and then use the activecontour function to evolve the curves towards object boundaries.
What is contour in OpenCV?
Contours are defined as a curve joining all the continuous points (along the boundary), having the same color or intensity. In the other, we find counter in a binary image, we focus to find the boundary in the binary image.
How do you find the contours in OpenCV Python?
OpenCV has findContour() function that helps in extracting the contours from the image. It works best on binary images, so we should first apply thresholding techniques, Sobel edges, etc.
How does OpenCV contour detection work?
To put in simple words findContours detects change in the image color and marks it as contour. As an example, the image of number written on paper the number would be detected as contour. The part that you want to detect should be white like above numbers in 1st image.