![]() You could try houghCircle using Green channel from RGB (red is dark in green channel).Īfter a threshold, output shape can be completely different from input shape. HoughCircle doesnt works because your binary image doesnt contains circles HoughCircle is better with gray images because it can follow a circumference using gradient of its edge. Your headaches might stop when using the proper functionality:) StevenPuttemans (. They are not in good quality because of the camera (you can see the noise), but I think that function should have no problem in recognizing circle.Īs you can see there is noise stripe on the left side but still ball is visible. In both ways HoughCirles dont see circle which is seen in front of both pictures. In the pictures you see results after function inRange and the second one is thresholding (which is now not in the code). Mechatronic s Summ er Institute, Sheridan College, Canada (2018).Īvailable upon request or could be checked on my Linkedin profile. PLC, Mainte nance Planning, Rene wable Energy Resource s, Matlab, Hydraulic s and Embe dded.īachelor degree in Mechatronics Engineering from the Arab Academy for Science, Technology and. ![]() ![]() Opencv Interlacing Image Code According Toįresh Mecha tronics Enginee r looking for a position in a leading company to apply the knowled ge. ![]()
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