Image Mosaic Method Based on SUSAN Algorithm and Log-Polar Transformation

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Abstract:

The traditional LPT-based image mosaic algorithm has such problems as huge calculation load and narrow applied fields, etc. In view of that, this paper puts forward a mosaic algorithm based on SUSAN Corner Detection Algorithm and LPT, which will firstly make corner detection, and then, with the corner as the coordinate transform central point, choose proper search strategy to further reduce the calculation load. The result of experimentation shows that this algorithm is effective.

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Periodical:

Advanced Materials Research (Volumes 532-533)

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1621-1625

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Online since:

June 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] LI Zhongxin, MAO Yaobin, WANG Zhiquan. A Method of Image Mosaicing Using Log-polar Coordinate Mapping. JOURNAL OF IMAGE AND GRAPHICS, 2005, 10(1): 59.

Google Scholar

[2] Kuglin C D, Hines D C. The phase correlation image alignment method[A]. In: Proceedings of the IEEE International Conference on Cybernetics and Society[C], San Francisco, CA, USA, 1975: 163.

Google Scholar

[3] LI Bo, ZHONG Sidong. A SUSAN Corner Detector Based on Adaptive Threshold. Infrared Technology, 2006, 28(6): 331.

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[4] YE Zhaoyang, Image Mosaic for Large View Scene. PRINCIPLE AND APPLICATION [D], Hangzhou: Zhejiang University, 2004. Fig. 2 Imageto be spliced and its corner distribution Fig. 3 mageto be spliced and its corner distribution Fig. 4 Finished image after mosaic.

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