Feature-point-extracting-based automatically mosaic for composite microscopic images  

作　　者：YIN YanSheng ZHAO XiuYang TIAN XiaoFeng LI Jia 

机构地区：[1]School of Materials, Ocean University of China, Qingdao 266003, China [2]Shandong Key Laboratory of Engineering Ceramics, Shandong University, Jinan 250061, China [3]School of Materials, Jinan University, Jinan 250022, China

出　　处：《Chinese Science Bulletin》2007年第9期1291-1295,共5页

基　　金：Supported by the National Natural Science Foundation of China (Grant Nos. 50672090 and 50572034)

摘　　要：Image mosaic is a crucial step in the three-dimensional reconstruction of composite materials to align the serial images. A novel method is adopted to mosaic two SiC/Al microscopic images with an ampli-fication coefficient of 1000. The two images are denoised by Gaussian model,and feature points are then extracted by using Harris corner detector. The feature points are filtered through Canny edge de-tector. A 40×40 feature template is chosen by sowing a seed in an overlapped area of the reference image,and the homologous region in floating image is acquired automatically by the way of correlation analysis. The feature points in matched templates are used as feature point-sets. Using the transfor-mational parameters acquired by SVD-ICP method,the two images are transformed into the universal coordinates and merged to the final mosaic image.Image mosaic is a crucial step in the three-dimensional reconstruction of composite materials to align the serial images. A novel method is adopted to mosaic two SiC/Al microscopic images with an amplification coefficient of 1000. The two images are denoised by Gaussian model, and feature points are then extracted by using Harris corner detector. The feature points are filtered through Canny edge detector. A 40×40 feature template is chosen by sowing a seed in an overlapped area of the reference image, and the homologous region in floating image is acquired automatically by the way of correlation analysis. The feature points in matched templates are used as feature point-sets. Using the transformational parameters acquired by SVD-ICP method, the two images are transformed into the universal coordinates and merged to the final mosaic image.

关 键 词：复合材料 特征点提取 自动镶嵌工艺 显微成像 图象镶嵌 

分 类 号：TB33[一般工业技术—材料科学与工程] TP391.41[自动化与计算机技术—计算机应用技术]