摘要: 针对传统图像边缘检测方法检测效果不理想的问题,利用四元数的矢量旋转原理,将一种改进后的粒子群优化算法引入四元数图像边缘检测中,提出一种新的彩色图像边缘检测方法。实验结果表明,该方法对彩色图像的边缘检测效果较好,能够提取图像纹理细节,且算法稳定、容易收敛,边缘检测速度也较快。
关键词:
彩色图像,
四元数,
四元数矢量旋转,
粒子群优化,
边缘检测
Abstract: Because of the traditional edge detection inadequacy, quaternion’s vector rotating theory is used, improved particle swarm algorithm is introduced to quaternion edge detection. A new color image edge detection method is presented. Experimental results show that the proposed method of color image edge detection has good effect. It can extract the image detail, and the algorithm is stable, easy to convergence, edge detection a little faster.
Key words:
color image,
quaternion,
quaternion vector rotation,
Particle Swarm Optimization(PSO),
edge detection
中图分类号:
刘笃晋, 孙淑霞, 丁照宇, 李思明. 基于改进粒子群算法的彩色图像边缘检测方法[J]. 计算机工程, 2011, 37(15): 190-192.
LIU Du-Jin, SUN Chu-Xia, DING Zhao-Yu, LI Sai-Meng. Color Image Edge Detection Method Based on Improved Particle Swarm Algorithm[J]. Computer Engineering, 2011, 37(15): 190-192.