Share Email Print
cover

Proceedings Paper

Spatial-information-based image segmentation using a modified evolutionary algorithm
Author(s): Zhongxin Gao; YanPing Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 10 July 2009
PDF: 6 pages
Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890R (10 July 2009); doi: 10.1117/12.837183
Show Author Affiliations
Zhongxin Gao, Mudanjiang Normal College (China)
YanPing Zhang, Mudanjiang Normal College (China)


Published in SPIE Proceedings Vol. 7489:
PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

© SPIE. Terms of Use
Back to Top