Automatic Cartridge Case Image Mosaic Using SIFT and Graph Transformation Matching
Characteristic marks on the cartridge can be viewed as a fingerprint for identification of a firearm. Sometimes, however, not all information can be obtained from just one image due to the limitations of microscope and the unsmoothed specimen surface in the cartridge case image detection. Image mosaic that refers to the combination of two or more images into a single composite image is precisely to solve this problem. This paper proposes a new cartridge case image mosaic approach by using automatic image registration and fusion techniques. In the registration stage, the scale invariant feature transform (SIFT) is employed to obtain initial matching. Then the graph transformation matching (GTM) is used to remove incorrect matches effectively. In the fusion stage, histogram matching is applied to smooth seams which exist in the stitched image. Finally, a stitched image is obtained, which contains more information than each of the two original images. Experimental results demonstrate that the proposed approach achieves good performance for cartridge case image mosaic in both subjective and objective evaluations.
cartridge case image image mosaic image registration image fusion SIFT graph transformation matching
Zijun Feng Man Luo Shu Chang Li Yang Jun Kong
Computer School,Northeast Normal University Computer School,Northeast Normal University;Key Laboratory for Applied Statistics of MOE Changchun,C
国际会议
上海
英文
2900-2904
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）