Orange Feature Extraction and Description Based on Image Processing

Chun Hua Qian; He Qun Qiang; Sheng Rong Gong

doi:10.4028/www.scientific.net/AMM.713-715.1804

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Orange Feature Extraction and Description Based on...

Orange Feature Extraction and Description Based on Image Processing

Abstract:

Automatic orange 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.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

1804-1807

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.1804

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Online since:

January 2015

Authors:

Chun Hua Qian*, He Qun Qiang, Sheng Rong Gong

Keywords:

Canny Operator, Feature Extraction, Fourier Descriptor Operator, HIS

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* - Corresponding Author

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