纯铜低周疲劳表面显微形貌的特征提取与分析
Feature Extraction and Analysis of Surface Microscopic Image of Pure Copper Subjecting Low Cycle Fatigue

为进一步探索金属疲劳过程中内部结构及表面形貌的变化规律，进行了T2纯铜的低周疲劳试验，通过远端显微镜获取材料表面形貌显微图像并使用图像灰度直方图及灰度共生矩阵方法用Matlab编程对图像进行处理及特征提取。通过对不同循环周次图像特征值提取和分析，发现了表面形貌及其特征值与疲劳损伤的密切相关性。
To further study the variation of the structure and surface morphology in the fatigue process of metals, a low cycle fatigue test was performed with the T2 copper, and images of the surface microscopic morphology were obtained with remote microscope. The image processing and feature extraction were achieved utilizing image gray level histogram and gray co-occurrence matrix (GLCM) method in the program of matlab. It was found that the surface morphology and its values were closely related with fatigue damage through image feature extraction and analysis in different cycle time