Image segmentation by a multilayer neural network

Ping Guo; Yinguan Sun; Dahe Liu

doi:10.1117/12.263054

31 December 1996 Image segmentation by a multilayer neural network

Ping Guo, Yinguan Sun, Dahe Liu

Proceedings Volume 2866, International Conference on Holography and Optical Information Processing (ICHOIP '96); (1996) https://doi.org/10.1117/12.263054
Event: International Conference on Holography and Optical Information Processing, 1996, Nanjing, China

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.

Citation Download Citation

Ping Guo, Yinguan Sun, and Dahe Liu "Image segmentation by a multilayer neural network", Proc. SPIE 2866, International Conference on Holography and Optical Information Processing (ICHOIP '96), (31 December 1996); https://doi.org/10.1117/12.263054

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