Hi Win,
As per my understanding instead of searching for the longest path of a line, consider using image processing techniques to detect and extract the branching points and the corresponding nerve segments.
Please refer to the following as a workaround:
- Apply image enhancement techniques such as smoothing to improve the quality of the image and make subsequent processing more effective.
- Use edge detection algorithm like Sobel operator to identify the edges of the nerves in the image. This will help in segmenting the nerves from the background.
- Apply a segmentation algorithm such as thresholding to separate the nerves from the background. This will create a binary image with the nerves as foreground pixels.
- Using "skeletonization" extract the skeleton or centerline of the segmented nerves. Then, identify the branching points by detecting the junctions or intersections in the skeleton.
- From each branching point, trace the nerve segments by following the skeleton or centreline. Use algorithms like depth-first search (DFS) or breadth-first search (BFS) to traverse the skeleton and extract the coordinates of the nerve segments.
Please refer to the following MATLAB Documentation for the implementation of the above algorithms:
Image Enhancement
Sobel function
Image Thresholding
Regards,
Maneet Bagga
