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Proceedings Paper

Image segmentation by a multilayer neural network
Author(s): Ping Guo; Yinguan Sun; Dahe Liu
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Paper Abstract

A new image nonlinear segmentation method which is based on feedforward multilayer neural network (MLN) is presented in this paper. The example of using proposed MLN technique for cross overlapped chromosome image segmentation is given. In contrast to gray-level threshold technique, the MLN method is based on spatial coordination classification. From the experiments it can be concluded that the MLN in particular shows promise of being a useful method for image nonlinear segmentation.

Paper Details

Date Published: 31 December 1996
PDF: 4 pages
Proc. SPIE 2866, International Conference on Holography and Optical Information Processing (ICHOIP '96), (31 December 1996); doi: 10.1117/12.263054
Show Author Affiliations
Ping Guo, Beijing Normal Univ. (China)
Yinguan Sun, Beijing Normal Univ. (China)
Dahe Liu, Beijing Normal Univ. (China)


Published in SPIE Proceedings Vol. 2866:
International Conference on Holography and Optical Information Processing (ICHOIP '96)
Guoguang Mu; Guofan Jin; Glenn T. Sincerbox, Editor(s)

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