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基于像素类型的阶跃型边缘提取算法
引用本文:宋金英,黄丽华,刘树锋.基于像素类型的阶跃型边缘提取算法[J].河北农业大学学报,2005,28(1):108-110.
作者姓名:宋金英  黄丽华  刘树锋
作者单位:1. 河北医科大学,计算机教研室,河北,石家庄,050017
2. 河北农业大学,机电工程学院,河北,保定,071001
摘    要:介绍一种用于提取目标图像和背景图像都比较简单的图像中的阶跃型边缘算法。把二值化图像中的像素点分为4类:背景点、目标体点、边缘点、噪声点;算法实现过程如下:首先对图像进行二值化处理,然后对二值图像中的目标体的边缘像素点进行跟踪,找出目标体的边缘曲线。试验表明:该算法实现简单、处理快速、抗噪性好。

关 键 词:像素类型  图像二值化  边缘提取
文章编号:1000-1573(2005)01-0108-03

Algorithm for image edge detection based on pixel types
SONG Jin-ying,HUANG Li-hua,LIU Shu-feng.Algorithm for image edge detection based on pixel types[J].Journal of Agricultural University of Hebei,2005,28(1):108-110.
Authors:SONG Jin-ying  HUANG Li-hua  LIU Shu-feng
Abstract:An algorithm for edge detection based on pixel types is presented in this paper. This algorithm is used to detect step edge in image where target image and background image are simple. The pixels in binary image are defined as four types: background pixel, target pixel, edge pixel and noisy pixel. The algorithm flow is as follows: first, image is binarized, then, the target edge is tracked by detecting edge pixel in binary image. The experiment shows that the algorithm is simple, fast and noise - standing.
Keywords:pixel type  image binarization  edge detection
本文献已被 CNKI 维普 万方数据 等数据库收录!
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