摘要
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。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,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,完整地检测边缘,且优于其他传统边缘检测算法。
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. Some image edge detection algorithm is introduced, and be used to simulate industrial CT image in computer. After comparing and analyzing the simulation results, a new image edge detection algorithm named MDY is put forworde,which 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.
出处
《电视技术》
北大核心
2013年第3期26-28,共3页
Video Engineering
基金
国家自然科学基金项目(61171177)
山西省青年基金资助项目(2009021019-2)
