摘要
在研究灰度图像的边缘检测问题中,针对像素灰度值的分布特点和图像的边缘特性,提出了一种基于直方图均衡化和数学形态学法的组合边缘检测方法,能够有效地抑制噪声,提高检测精度,保护边缘细节,并且算法易于编程实现,适用于大多数的实际图像。
In this paper, the edge detection of gray-scale image is studied. Use of the image edge attribute and pels' distributing characteristic, a combined edge-detecting algorithm is proposed based on histogram equalization and mathematical morphology. By using this algorithm in the edge detection of gray-scale image, the noise can be suppressed effectively, precision of detection improved evidently, and detail protected well. Nevertheless, the algorithm can be programmed easily and applicable to the most real images.
出处
《杭州电子工业学院学报》
2003年第6期79-81,共3页
Journal of Hangzhou Institute of Electronic Engineering
基金
浙江省自然科学基金(602127)
浙江省自然科学基金重点项目(ZD0205)
