基于Gauss-Laplace算子的灰度图像边缘检测  

Gray Image's Edge Detection Based on Gauss-Laplace

作　　者：王卜堂[1] 杨善林[1] 

机构地区：[1]合肥工业大学网络系统研究所,合肥230009

出　　处：《计算机工程与应用》2003年第26期132-134,共3页Computer Engineering and Applications

摘　　要：在分析常用的图象边缘检测算子基础上,为更精确地检测具有灰度渐变和噪声较多的灰度图像,论文首先引入一种改进的灰度图像的边缘检测算子,接着实验验证该算子得到的图像比别的边缘检测算子处理效果更好,更清楚和更符合人或计算机识别要求。同时,给出了在VC++6.0编程环境下BMP位图处理的方法和介绍的边缘检测算子的实现方法。The paper introduces a means of processing gray bitmap and gray bitmap's Edge detection,which is based on analyzing bitmap's Edge detection which is in common use in order to detect the bitmap more accurately which has more gray-changes and more noises.And it proves that the bitmap coming from this algorithm is clearer,better than those from others and is easier for people or computer to recognize.This paper provides an implement for the algorithm and the process of BMP bitmap in Visual C++6.0Environment.

关 键 词：边缘检测 位图结构 图像处理 高斯拉普拉斯算子 模板 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]