摘要
将腐蚀、膨胀算子经过有效组合,形成了一个性能优良的滤波算子,同时介绍了在冲击噪声的去噪中表现出显著效果的Extrema killer算子.提出了一种基于数学形态学的边缘检测算法,该算法先用一个较小尺度的结构元素进行腐蚀,后用一个较大尺度结构元素进行膨胀,用(fΘB1)B2-f作为边缘检测算子.实验证明用所给算法进行图像边缘检测,能较好地保持图像的细节特征,同时能有效的抑制噪声.
A filter is proposed with excellent performance after effective combination make use of erosion and dilation,and Extrema killer algorithm is introduced it can eliminate impact noise commendably. A edge detection algorithm is proposed based on mathematical morphology. This algorithm using a construction element with small scale to decay and then using a construction element with bigger scale to inflate, and finally using （fθB1 B2-f） to detect image edge. The results show that using the flexible mathematical morphology algorithm proposed in this paper to detect image edge can preserve the image detail well,and decrease noise at the same time.
出处
《喀什师范学院学报》
2008年第3期45-47,共3页
Journal of Kashgar Teachers College
关键词
数学形态学
滤波
边缘检测
Mathematical Morphology
Filter
Edge Detection
