SAR Image Ship Detection Based on Ant Colony Optimization

被引：0

作者：

Li, Lin-lin ^{[1
]}

Wang, Ji-kui ^{[1
]}

机构：

[1] Shandong Xiehe Coll, Sch Mech & Elect Engn, Jinan, Peoples R China

来源：

2012 5TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP) | 2012年

关键词：

Ant Colony Algorithm; Ant Colony Optimization Algorithm; edge detection; ship detection;

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：

Edge detection is an important method of extracting image edge, which occupies an important position in ship detection. In this article, Ant Colony Optimization algorithm is adopted, which adjusts threshold on edge detection dynamically. By the contrast analysis with traditional edge detection operators and WT method, Ant Colony Optimization algorithm can reduce the detection computing time and cost greatly, extracts the ship targets in SAR images effectively, keeps the ship structure completely, and ensures accuracy of the test results. Ant Colony Optimization algorithm has a lot of advantages in dealing with image edge detection and so on discrete optimization problems, which has very broad prospects in image processing.

引用

页码：1100 / 1103

页数：4