Singular value feature extraction of color image and its application for recognition

Ruisheng Ran; Tingzhu Huang

doi:10.1117/12.668082

11 January 2006 Singular value feature extraction of color image and its application for recognition

Ruisheng Ran, Tingzhu Huang

Proceedings Volume 6033, ICO20: Illumination, Radiation, and Color Technologies; 60330Q (2006) https://doi.org/10.1117/12.668082
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China

Abstract

A new tool of feature extraction and recognition of color image is introduced. It is based on the quaternion representation of color image and quaternion matrix algebra, which are discussed firstly in the paper. Then the singular value (SV) feature vector of a color image is introduced and its many important properties are proved. The properties are very useful for the description and recognition of color image. Then a method for color image recognition is presented. As an application of SV feature vector, the experiment of color image recognition is made and the experiment results are satisfactory.

Citation Download Citation

Ruisheng Ran and Tingzhu Huang "Singular value feature extraction of color image and its application for recognition", Proc. SPIE 6033, ICO20: Illumination, Radiation, and Color Technologies, 60330Q (11 January 2006); https://doi.org/10.1117/12.668082

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