结合数学形态学和图像融合的边缘检测算法

工业CT图像边缘检测是工业CT图像处理中一项十分重要的工作和预处理步骤，图像的最终处理结果取决于边缘检测的优劣程度。本文首先介绍了几种经典的图像边缘检测方法，并用这几种算法对工业CT图像进行了计算机仿真。通过对仿真结果的对比和分析，作者提出了基于数学形态学和图像融合相结合的图像边缘检测算法MDY并在ImageJ软件上编程实现。实验结果表明该算法能够有效地抑制噪声，完整的检测边缘，且优于其他传统边缘检测算法。

Edge Detection Algorithm Combined with Mathematical Morphology and Image Fusion

Industrial CT image edge detection is a very important work and preprocessing step in industrial CT image processing. The final result of the processed image depends on the quality of the edge detection. This paper introduces some image edge detection algorithm, and uses them to simulate industrial CT image in computer. After comparing and analyzing the simulation results, the author puts forward a new image edge detection algorithm named MDY based on mathematical morphology and image fusion, and programs in the ImageJ software. Simulation result shows that the algorithm can effectively suppress noise, completely detect the edge, and better than other traditional edge detection algorithm.