基于重心的一种灰度图像边缘检测算法  

Edge Detection Algorithm of Gray Scale Image Based on the Center of Gravity

作　　者：林晓敏[1] 桂婷[2] 胡同森[1] 

机构地区：[1]浙江工业大学计算机科学与技术学院,浙江杭州310014 [2]浙江工业大学之江学院,浙江杭州310024

出　　处：《计算机系统应用》2010年第12期235-237,203,共4页Computer Systems & Applications

摘　　要：本文提出一种基于重心的灰度图像边缘检测算法,将灰度图像中每一像素的灰度值,作为该像素的"质量"、三维空间中的z坐标。判断某像素是否为边界点,取决于在以该像素为中心点的矩形区域内重心偏移量的大小。该算法具有一定的抗噪性,与采用canny算子的边缘检测算法相比较,本文算法对B超灰度图像的实际检测效果更好。An algorithm of edge detection of gray scale image based on the center of gravity is introduced in this paper. The gray scale value of each pixel is seemed as the ＂quality＂ or the z coordinates of three-dimensional space in the gray scale image. Whether a pixel is a boundary point or not, is depending on the size of the offset of center of gravity in the center of the rectangular area. The algorithm has some noise immunity. It is compared to the canny operator of edge detection, the algorithm is tested better actually on the B-ultrasound image.

关 键 词：边缘检测 重心 偏移量 B超 灰度图像 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]