CB形态学的边缘检测算法研究

Study on edge detection method based on CB mathematical morphology

数学形态学是一种非线性滤波方法,应用数学形态学进行非线性图像处理已经发展成为图像处理的一个主要研究领域。基于CB(Contour-Based)形态学的方法,提出了一种改进的形态学边缘检测算子,能够有效地检测出图像边缘,并保持边缘的平滑性。实验结果表明,与传统的边缘检测算子相比较,该算法抗噪性能良好,计算量较小,因此具有一定的实用性和可行性。

Mathematical morphology is a methodology of nonlinear filters.Applying mathematical morphology in nonlinear image processing has been developed a main important study field.On the basis of CB mathematical morphology,an improved edge detection operator is proposed.The method can detect the edge efficiently and keep the detected edge smooth.Experiments demonstrate that compared with traditional edge detectors,this edge detector has a good performance of noise reduction and requires fewer calculations,enhancing its practicality and ablity.