摘要
提出了一种基于相邻像素间的灰度差异来提取图像多像素边缘的方法.对一幅256×256大小的图像进行边缘提取需要的时间约0.22 s,分别比Prewitt算子和Robert算子少了26%和34%.算法改进后,较完整地提取了图像的竖直边缘和水平边缘,这些边缘在Prewitt算子和Robert算子的提取结果中是不可见的.经细化算法后,得到了图像清晰、位置精确的单像素边缘图像.研究表明,本文的多像素边缘提取等诸方法具有模型简单、实时性强等特点,且便于实现.
A method which can detect multi-pixels edge of image is put forward. The method is based on difference of gray-level between the border upon pixels. To a 256 by 256 image, it needs 0.22 second to detect edge which is 26% and 34% faster respectively than that of Prewitt and Robert arithmetic. After ameliorating arithmetic, horizontal and vertical edge of image is detected integrality. The image edge doesn＇t exit in the edge detecting result of Prewitt and Robert arithmetic. Through thinning arithmetic, clear and precision location single pixel edge is achieved. The result show that, the multi-pixels edge detecting, improved and thinning method is of simple model and perfect real-time quality. The whole system can be realized easily.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2007年第2期380-384,共5页
Acta Photonica Sinica
基金
航空科学基金(04I53067)
航天科技创新基金(N4CH008)资助
关键词
边缘提取
单像素边缘
多像素边缘
边缘细化
图像处理
Edge detecting
Single pixel edge
Multi-pixels edge
Edge thinning
Image processing
