一种新的模糊彩色图像边缘检测算法  

A new algorithm for fuzzy color images edge detection

作　　者：施成湘[1] 

机构地区：[1]重庆教育学院数学系,重庆400067

出　　处：《重庆教育学院学报》2007年第3期46-49,共4页Journal of Chongqing College of Education

摘　　要：为提高算法的普适能力,本文提出了一种新的模糊彩色图像边缘检测算法。算法引入了特征散度度量像素差异性,凭借多尺度理论去噪和准确定位的优势,有效地检测彩色图像的边缘。与传统的边缘提取算法和模糊竞争算法相比,模糊彩色图像边缘检测算法较好地降低了彩色图像大样本数据的运算量,得到更满意的效果,与人的主观视觉感知具有良好的一致性。In order to improve general adaptive capability of algorithm,a new algorithm ior tuzzy color images edge detection was proposed. Based on the advantages of less noise and pinpoint in the multi-scale field, the algorithm introduces feature divergence into calculation in order to measure the dissimilarity of pixels and to detect color image edge effectively. Compared with traditional edges and competitive fuzzy edge detectlon,the fuzzy color image edge detection result of the proposed approach reduced calculation quantity of large samples of color image and had favorable consistency in terms of human perception.

关 键 词：特征散度 多尺度 边缘检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]