计算机技术与发展Issue(11)：28-31,4.DOI:10.3969/j.issn.1673-629X.2014.11.007
基于组合LoG滤波方法的轮廓检测
Contour Detection Based on Combination of LoG Filters Method
摘要
Abstract
Contour detection is a significant problem of computer vision field. The textures and noises of objects and backgrounds make it harder to get and keep a contour from an image. The anatomy and neurophysiology research results provide a lot of novel contour detec-tion method to solve this problem. In this paper,improve the existing bionic model,use a combination of image convoluted with LoG fil-ters and weight each result to inhibit the texture,weakening the texture and the background interference composition effects on contour ex-traction,enhancing the contour edge of object,making the contour integrated. The experimental results show that this method can inhibit the texture effectively and reduce the damage to the integrity of the target contour,strengthen the contour detection performance of image.关键词
轮廓检测/LoG滤波器/感受野/视神经系统/视皮层Key words
contour detection/LoG filters/receptive field/optic nerve system/cortex分类
信息技术与安全科学引用本文复制引用
李晓磊,马苗..基于组合LoG滤波方法的轮廓检测[J].计算机技术与发展,2014,(11):28-31,4.基金项目
国家自然科学基金资助项目(61202153) （61202153）
陕西省语音与图像处理重点实验室开放基金项目(SJ2013002) （SJ2013002）
陕西省青年科技新星项目(2011kjxx17) （2011kjxx17）
