摘要
介绍了一种具有很好抗噪性的数学形态学梯度算子。该算子是以二值形态学为理论基础的,因此在处理灰度图时,文中选用了迭代阈值的方法对图像二值化,根据形态学基本算子的性质,将原有的形态学梯度算子进行改进,最后通过VC++6.0编程实现。实验结果表明将迭代阈值与改进的梯度算子相结合,提取的边缘定位准确、连续性好,运算速度快,具有很好的去噪能力。
An edge detection operator based on mathematic morphology is proposed.Firstly,the iterative method is used to change the gray image into white and black image,then the advanced operator is used to segment the image.The result of experiment which is achieved by Visual C＋＋6.0 show that the advanced operator can detect the edge of the object accurately and consecutively.And it can suppress the noise effectively.
出处
《河北理工大学学报（自然科学版）》
CAS
2009年第2期55-58,共4页
Journal of Hebei Polytechnic University:Social Science Edition
关键词
数学形态学
边缘检测
迭代阈值
梯度
mathematic morphology,edge detection
iterative method
gradient
