Automatic Parameter Setting of Pulse Coupled Neural Network for Image Segmentation

被引：0

作者：

Dharwal, Devanshu ^{[1
]}

Shanker, Ravi ^{[1
]}

Bhattacharya, Mahua ^{[1
]}

机构：

[1] Indian Inst Informat Technol & Management, Dept ICT, Gwalior, Madhya Pradesh, India

来源：

2016 INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP), VOL. 1 | 2016年

关键词：

PCNN; Segmentation; Medical Images; Neural Networks; M-PCNN; PCNN;

D O I：

暂无

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：

PCNN Model is widely used because it simulates the working of visual cortex in cats, but parameter setting in PCNN is hefty affair because of manual adjusting of many initial parameters. Through this paper, we present an efficient optimization approach to reducing the parameter setting in original PCNN model by changing the threshold function to modified Heaviside function. Experimental result reveals that the proposed algorithm is efficient in detecting the segments in medical images.

引用

页码：2157 / 2161

页数：5

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