Image segmentation by a multilayer neural network

被引：0
|
作者：
Guo, P
Sun, YG
Liu, DH
机构：
来源：
INTERNATIONAL CONFERENCE ON HOLOGRAPHY AND OPTICAL INFORMATION PROCESSING (ICHOIP '96) | 1996年 / 2866卷
关键词：
feedforward multilayer neural network; real time training; image nonlinear segmentation;
D O I：
10.1117/12.263054
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：108 / 111
页数：2
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