A Feature Extraction and Description Method of Fruit Image Based on Computer Vision
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Chunhua Qian, Hequn Qiang and Yi Ren
Automatic fruit quality classification based on computer image processing is accurate and efficient. In this paper, we discuss the orange feature extraction and description method based on image processing. Design an orange image edge detection method based on Canny operator, color characteristics description methods based on HIS model and shape characteristics description methods based on Fourier descriptor operator. The experiment result proof that Canny operator is high SNR, high accuracy and low computation; HIS model is more accord with human vision and low computation also; shape characteristics description methods based on Fourier descriptor operator is more easy to shape classification.
Feature extraction, Canny operator, HIS, Fourier descriptor operator