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 12 freelancer ortalamada £161 teklif veriyor
I am very interested in your project. I have extensive experiences in the object detection and counting, segmentation, feature extraction, classification, edge detection, real time tracking, pattern recognition, OCR a Daha Fazla
Dear hiring manager, I have long experience in digital image processing in Matlab. I read your project description very carefully, and I am thinking this project is best match with my skills. Thanks for your attentio Daha Fazla
Hi You have well mentioned steps of each stage. I am Engineer and MATLAB specialist. Give me a chance to serve you in best energies and expectations. Regards Engineer Nouman
I have read the details of project and i can complete it perfectly.I have read the details of project and i can complete it perfectly.
I have briefly read the description on matlab development, and I can deliver as per the requirements however I need us to discuss for more clarity on the details, deadline and budget as well.