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Dominant point detecting based non-uniform B-spline approximation for grain contour

Science china(Technological Sciences) 2007年第1期50卷 90-96页

作者： zhao xiuyang1, yin yansheng1,2 & yang bo3 1 shandong key laboratory of engineering ceramics, shandong university, jinan 250061, china 2 School of Materials, Ocean university of china, Qingdao 266003, china 3 State key laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan university of Science and Technology, Wuhan 430070, china shandong key laboratory of engineering ceramics Shandong University Jinan China School of Materials Ocean University of China Qingdao China State key laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Science and Technology Wuhan China

Three-dimension reconstruction from serial sections has been used in the last decade to obtain information concerning three-dimensional microstructural ge-ometry. One of the crucial steps of three-dimension reconstruction is getting compact and fairing grain contours. Based on the achievement of closed raw con-tours of ceramic composite grains by using wavelet and level set, an adaptive method is adopted for the polygonal approximation of the digitized raw contours. Instead of setting a fixed length of support region in advance, the novel method computes the suitable length of support region for each point to find the best es-timated curvature. The dominant points are identified as the points with local maximum estimated curvatures. Periodic closed B-spline approximation is used to find the most compact B-spline grain boundary contours within the given tolerance. A flexible distance selection approach is adopted to obtain the common knot vector of serial contours consisting of less knots that contain enough degrees of freedom to guarantee the existence of a B-spline curve interpolating each contour. Finally, a B-spline surface interpolating the serial contours is generated via B-spline surface skinning.

关键词： composite B-spline dominant points control points grain contour

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

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Chinese Science Bulletin 2007年第9期52卷 1291-1295页

作者： yin yansheng zhao xiuyang TIAN XiaoFeng LI Jia School of Materials Ocean University of China Qingdao 266003 China shandong key laboratory of engineering ceramics Shandong University Jinan 250061 China School of Materials Jinan University Jinan 250022 China

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.

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

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