Spatial-information-based image segmentation using a modified evolutionary algorithm

Zhongxin Gao; YanPing Zhang

doi:10.1117/12.837183

10 July 2009 Spatial-information-based image segmentation using a modified evolutionary algorithm

Zhongxin Gao, YanPing Zhang

Proceedings Volume 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering; 74890R (2009) https://doi.org/10.1117/12.837183
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China

Abstract

This article proposes an evolutionary algorithm based segmentation algorithm for automatically grouping the pixels of an image into different homogeneous regions. In contrast to most of the existing evolutionary image segmentation techniques, we have incorporated spatial information into the membership function for clustering. The spatial function is the summation of the membership function in the neighborhood of each pixel under consideration. The two very important advantages of the new method are: 1) It does not require a priori knowledge of the number of partitions in the image and 2) It yields regions, more homogeneous than the existing methods even in presence of noise.

Citation Download Citation

Zhongxin Gao and YanPing Zhang "Spatial-information-based image segmentation using a modified evolutionary algorithm", Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890R (10 July 2009); https://doi.org/10.1117/12.837183

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