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.
Bu iş için 8 freelancer ortalamada zł208 teklif veriyor
Hello I'm Mohamed Saeed .Matlab Expert with high experience .I have checked your job and ready to help you
Image processing expert such as object detection and counting, feature extraction, segmentation, real time tracking, face detection and recognition, pattern matching and so on
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