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.
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Hello I'm Mohamed Saeed .Matlab Expert with high experience .I have checked your job and ready to help you
Very Interested in this project! I have solid knowledge and experience in these fields, So I can do this project with good quality in a short period time. Your satisfaction is my best priority. I am looking forward Daha Fazla
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.
Hi, I have experiences in MATLAB, I already performed Tetris game,, many mechanical problems, mathematical problems and so on. Please contact me.
i can take the template as a kernel and by applying it to the different fruits using 'corr' OR 'conv'or something else , which i can get to know after more details about the exercise, then after which we can hold a th Daha Fazla