Color image segmentation by integrating texture measure into JSEG method

Qinghong Sheng; Hui Xiao

doi:10.1117/12.750939

15 November 2007 Color image segmentation by integrating texture measure into JSEG method

Qinghong Sheng, Hui Xiao

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678647 (2007) https://doi.org/10.1117/12.750939
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

We present a new color image segmentation method that combined texture measures and the JSEG (J measure based JSEGmentation) algorithm. In particular, two major contributions are set forth in this paper. (1) The two measures defined in JSEG and the Laws texture energy is discussed respectively and then we find that the over-segmentation problem of JSEG could be attributed partly to the absence of color discontinuity in the J measure. (2) A new measure is proposed by integrating the Laws texture energy measures into the J measure, on which our segmentation method is based. The new segmentation method taking account of both textural homogeneity and color discontinuity in local regions can be used to detect proper edges at the boundaries of shadows and highlights. Performance improvement due to the proposed modification was demonstrated on a variety of real color images.

Citation Download Citation

Qinghong Sheng and Hui Xiao "Color image segmentation by integrating texture measure into JSEG method", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678647 (15 November 2007); https://doi.org/10.1117/12.750939

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