Methods Compared between ASM and BP Network in Apple Shape Research

Abstract

Abstract: Apple shape identification is an essential character on appraising its appearance quality.This paper introduces a method of active shape models(ASM)as the neural network method based on Fourier to identify the apple shape.The experiment results demonstrate that the accuracy of the neural network is about 83.3% and the ASM method has good effect reaching as high as 95%.The matchin8 time between the model and the actual image does not surpass 2 sec.ASM has good visibility,high flexibility and strong robustness to satisfy the real-time graduation of apple.

Key words: apple, shape, ASM, principal component analysis, BP(error back propagation), Fourier transformation

XU Yue-Ming, CAI Jian-Rong, DU Feng-Yu. Methods Compared between ASM and BP Network in Apple Shape Research[J]. FOOD SCIENCE, 2007, 28(4): 56-59.

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Methods Compared between ASM and BP Network in Apple Shape Research

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