计算机与数字工程2016，Vol.44Issue(10)：2057-2060,2077,5.DOI:10.3969/j.issn.1672-9722.2016.10.041
基于图像增强与边缘检测的弱特征目标轮廓检测算法
Target Contour Measurement Algorithm Based on Image Enhancement and Edge Detection
摘要
Abstract
In order to solve the deficiency of low contour extraction accuracy in weak edge character ,complex back‐ground environment ,this paper designes algorithm for measuring the parameters of tool based on image enhancement and edge detection .First ,based on the Laplace discrete formula and two‐dimensional Fourier transform formula ,the coupling of the two image enhancement operator is constructed .Then ,is based on the characteristics of the second derivative gradient , tool edge detection operator is designed for the cutting tool parameters such as perimeter ,area measurement .Experimental data shows that compared with the current tool parameters measurement technology ,in the face of unfavorable to measure‐ment of bad environment ,this algorithm has higher measurement accuracy and stability .关键词
目标轮廓检测/图像增强/边缘检测/拉普拉斯/傅里叶变换/梯度特征Key words
target contour detection/image enhancement/edge detection/Laplasse/Fourier transform/gradient fea-ture分类
信息技术与安全科学引用本文复制引用
吴鹃..基于图像增强与边缘检测的弱特征目标轮廓检测算法[J].计算机与数字工程,2016,44(10):2057-2060,2077,5.
