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Discovering Contours Within Contours: Techniques to Find Hidden Shapes | How will you find a Contour behind a Contour ?

Finding a Contour behind another contour can be accomplished in a computer vision task by using image processing techniques such as thresholding and edge detection. This can be done in multiple steps, including:

  1. Pre-processing the image, such as converting it to a grayscale or binary image, to make it easier to detect edges.

  2. Applying edge detection techniques, such as Canny edge detection, to identify the outlines of objects in the image.

  3. Using contour detection algorithms, such as OpenCV's findContours function, to extract the Contours in the image.

  4. Sorting the contours by size or position, and extracting the contour that is located behind another contour.

It's worth noting that the specific steps and techniques used may vary depending on the image and the desired result.



This post first appeared on FlintGroups, please read the originial post: here

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Discovering Contours Within Contours: Techniques to Find Hidden Shapes | How will you find a Contour behind a Contour ?

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