Surface Target Edge Detection Based on Local Energy Model in Sea Clutter Background

摘要

Most of edge detection algorithms are based on the gradient method. When texture is complex, especially in scale light background, the image may be cluttered. Thus, it is hard to find useful information in the edge map. In this article, a local energy model, which is relative to Human Vision System (HVS), is proposed to detect robust and useful edges. We give non-classic receptive field (Non-CRF) methods to detect interested edges. The experimental results show that the method we proposed in this paper is much better than gradient methods in detecting edges interested.