面向对象形态学相关识别相似灰度图像研究  

Faced Object Morphological Correlation Recognize Similar Gray Image

作　　者：余杨[1] 张晓岩[2] 周献中[3] 

机构地区：[1]南京师范大学电气与自动化工程学院,江苏南京210042 [2]南京师范大学数学与计算机学院,江苏南京210097 [3]南京大学控制与系统工程系,江苏南京210093

出　　处：《激光与红外》2008年第7期712-715,共4页Laser & Infrared

基　　金：江苏省重点学科经费资助;博士点基金资助

摘　　要：提出面向对象联合变换相关器计算机模拟形态学理论,提出两种基于位表示法形态学相关算法(MMC)的改进算法,通过提取基于位表示法的图像片边缘特征或二元化基于位表示法的图像片功率谱,给出了改进的二维相关峰和谱图,提高了MMC对高相似度灰度图像的识别能力。Faced object morphological correlation based on JTC computer simulation is presented. Two kinds of modified morphological correlation algorithm that are based on bit-representation decomposition are presented. The grayscale image is decomposed into a set of binary slices in the bit-representation decomposition. In the first algorithm, the edge of each pair of slices is detected. In the second algorithm, the joint power spectrum of each pair is binarized or the summation of the joint power spectrum of these pairs is binarized. Modified two dimention correlation peak and speetrum image is gived. Computer-simulation results indicate that the modified algorithm can improve the discrimination capabilities with respect to the high similarity gray-scale images.

关 键 词：联合变换相关器 数学形态学 光学模式识别 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]