step1: make a standardized template library (all fruit, 51x51).
step2: extract an individual object from an image and generate a single line edge (contour).
step3: standardize the image (normalized, single line, 51x51).
step4: use the central point as fix point, clockwise scan the two template images (contour projection).
step5: choose a tolerance value (3 or 5 pixels) to evaluate the image with each template, and get a score (contour matching).
step6: decide what kind of fruit it is by lowest score.
8 freelancers are bidding on average zł208 for this job
Image processing expert such as object detection and counting, feature extraction, segmentation, real time tracking, face detection and recognition, pattern matching and so on
Hi, I am professional in fruit recognition. I am very familiar with deciding what kind of fruit it is by lowest score. I can help you with high quality. Thanks.