Apple Grading Method Based on Features Fusion of Size, Shape
₹1500-3000 INR
Closed
Posted about 12 years ago
₹1500-3000 INR
Paid on delivery
As grading results of apples based on the single feature such as size, shape or color are not accurate, this paper
proposes a multi-feature information fusion method based on BP neural network and D-S evidential theory to
improve the accuracy of apple grading. Firstly, size, shape and color features are extracted from the processed images
of apples. Secondly, apples are classified with each kind of feature by BP network classifier and as independent
evidences, the outputs of classifiers are combined to construct the basic probability assignment (BPA). Finally, using
D-S fusion rules of evidences to make the decision and achieve the final grading result. The experimental results have
shown that the decision information fusion method based on size, shape or color features has good performance on
accuracy compared to the single feature-based method in apple grading.
I want to implement whole work on matlab