基于灰度共生矩阵的连续多幅散斑图像纹理  

Texture of Continuous Image Based on Gray Co-Occurrence Matrix

作　　者：郭冰[1] 周晨波[1] 赵亚伟[1] 王刚[1] 

机构地区：[1]烟台大学光电信息科学技术学院,山东烟台264005

出　　处：《激光与光电子学进展》2010年第5期39-44,共6页Laser & Optoelectronics Progress

摘　　要：采用激光散斑的实验方法,拍摄了连续多幅不同加工工艺、不同表面粗糙度标准样块的散斑图像。利用基于灰度共生矩阵的纹理分析方法对图像的4个特征参数——角二阶矩、惯性矩、相关性和熵进行了计算、统计与分析。研究表明,连续多幅激光散斑图像的各种参数取值会有波动,但整体趋于平稳;验证了表面粗糙度和特征参数之间存在着规律性的曲线关系;进一步消除了外界干扰和装置随时间的动态不确定性,使得实验结果更可靠,同时扩大了表面粗糙度和4个特征参量之间的关系数据库,验证了激光散斑的方法对测量表面粗糙度具有较高的可信度。A large number of continuous speckle images with different processing techniques and different surface roughness are taken using the laser speckle measurement method. Through the texture analysis method based on gray-level co-occurrence matrix, four characteristic parameters of the images, angle of second-order moment, moment of inertia, relevance and entropy are calculated and analyzed. The research indicates that, the parameters values of the continuous laser speckle images are stable with little fluctuation and the regular relationship curves of the parameters and surface roughness are testified and verified. Outside interference and dynamic uncertainty of the device over time are eliminated, making results more reliable. The relation database of the parameters and surface roughness is expanded at the same time, and the laser speckle measurement method having high precision measurement of surface roughness is testified.

关 键 词：图像处理 纹理 灰度共生矩阵 连续 激光散斑 

分 类 号：TN247[电子电信—物理电子学] O436.2[机械工程—光学工程]