摘要
在广义模糊集理论的基础上 ,给出了全新的用于模糊增强图像区域对比度的线性广义模糊算子 ,从而提出了一种双线性快速模糊增强图像边界检测最新算法。利用线性左半梯形模糊分布将灰度图像的普通空间集合变换为广义模糊空间集合 ,再利用LGFO对广义模糊集合进行区域对比度增强 ,把增强后的广义模糊集合变换为普通集合 ,最后对处理后的普通集合进行边界提取。实例表明该算法提取图像边界速度快。
This paper gives the linear general fuzzy operator (LGFO)of fuzzy enhancement of contrast among successive region,and then puts forward the newest double linear fast algorithm of image enhancement edge detection based on GFS.The normal space sets of grey image are translated to correspondent generalized fuzzy space sets by using left semi-trapezoid fuzzy distribution.The generalized fuzzy sets proceed to fuzzy enhancement of contrast among successive region by LGFO.The enhanced GFS is translated to normal sets,and the edge is extracted from the normal sets.Through a great many of instances indicated: by using this algorithm to extract the edge is fast for velocity and good for effect.
出处
《计算机应用研究》
CSCD
北大核心
2004年第6期134-135,138,共3页
Application Research of Computers
基金
国家重点实验室基金资助项目 (5 1 4 730 80 1 0 1 )
