Regards,
I need input on how we approached the problem. We've started this from a very inexperienced standpoint so all suggestions will be heavily considered. What we need is wood rings orientation recognition, and what we've did is through canny edge filtering, adaptive thresholding, finding contours and drawing them over original image (like magentic field for visual representation). I'm attaching an image how the final result looks like. Currently we're deciding on what method to use to actually determine the ring orientation (up, down, etc.). We've divided the cut board section into ten parts and averaging the slope of lines in each section. So for given example (0.88, 0.87, 0.15, 0.005, -0.12, -0.24, 0.16, 0.03) which would mostly (except for the right most part, which has some defects from `the saw blade) conform to upward orientation. Then we're thinking we would make a lot of pictures and put that through some classification algorithm. Would that be an ok approach or is there a method that we overlooked/disregarded? Example picture attached, you must note that in actual scenario, the area around the board would be clean so no artefacts would be present like in this picture. Link: https://imgur.com/a/j7QQ1