基于多态蚁群优化算法图像边缘检测_中英文论文.docVIP

2010 International Conference on Broadcast Technology and Multimedia Communication Image Edge Detection based on Polymorphic Ant Colony Optimization Algorithm 基于多态蚁群优化算法的图像边缘检测 专业 软件工程 组员 张文祥 张章 马俊杰 曹亮 Abstract - Ant colony optimization algorithm is easy to fall into local optimum and converges slowly in high-dimensional space. Polymorphic ant colony optimization algorithm takes full use of multiple pheromones leaved by different ants to help searching globally and improving optimization ability. The paper introduces polymorphic ant colony optimization algorithm to edge detection and utilizes polymorphism in ant society to enhance the performance of edge detection. The experiments indicate that the algorithm proposed in the paper do not only extract the weak edges, but also suppress the influence e of noiseand texture I. INTRODUCTION Edge is one of the simplest and the most important features of image, and this feature is broadly used in image recognition, segmentation, enhancement and compression [1]. The purpose of edge detection is not only to extract the edges of the interested objects from an ima