基于宽度细化的图像过渡区提取  

Extraction of transition region of image based on ramp width reduction

作　　者：王晖[1] 高建波[1] 黄芬[1] 

机构地区：[1]深圳大学信息工程学院,深圳518060

出　　处：《深圳大学学报（理工版）》2005年第1期7-11,共5页Journal of Shenzhen University(Science and Engineering)

基　　金：广东省自然科学基金资助项目(011750)

摘　　要：利用中心像素邻域灰度信息,提出一种新的图像边缘宽度细化算法,使斜坡边缘的细化效果有明显提高.采用新的灰度加权梯度算子对细化后的图像提取过渡区,能较好地抑制图像噪声.实验结果表明,结合灰度加权梯度算子和宽度细化算法提取的过渡区效果更佳.A new algorithm of ramp width reduction based on the gray information of neighborhood pixels is proposed in order to sharpen the ramp edge effectively. The gray-weighted gradient operator was introduced to extract the transition regions in image and meanwhile suppress the noise. Simulation results have shown the performance of extacting transition regions is improved when both ramp width reduction and gray-weighted gradient operator are exploited.

关 键 词：斜坡边缘 宽度细化 过渡区 灰度加权梯度算子 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]