SAR image ship detection based on Ant Colony Optimization

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.