Abstract

Image matching plays an important role in many fields such as pattern searching & recognizing[6], image analysis, robotics & computer vision. It is a method to find a certain image in the image database which matches or can be said similar to the given template picture. The template image can be thought of as a subset of the matching image. This paper aims at the improved matching algorithm which is based on the image feature point[5]. By searching correct feature point and setting bidirectional threshold value, the matching process can be quickly & precisely implemented with optimistic results. Visual C++ to be used for design and implementation. In future, the feature based algorithm can be modified to choose feature selection threshold adaptively depending on the image’s content.

References

• R. C. Joshi, and Shashikala Tapaswi, “Image Similarity: A Genetic Algorithm Based Approach”, Proceedings of world academy of science, engineering and technology volume 21 MAY 2007 ISSN 1307-6884
• Hu Minghao, Ren Mingwu, Yang Jingyu, “ A rapid and useful algorithm of image matching based on Feature Point”, computer engineering 2004.5 Vol.30
• Li Junshan, Shen Xubang,”the research of image matching technology”, Micro-electric and computer 2002-2
• Abdul Ghafoor, Rao Naveed Iqbal, and Shoab Khan, ”Robust image matching algorithm”, EC-VIP-MC 2003,4th EURASIP Conference focused on Video/Image Processing and Multimedia Communications, 2-5 July 2003, Zagreb, Croatia.
• Dare P M, Dow man, “A Comparison of feature extraction algorithms for automated feature based multisensor image registration”, IJRSS'97, 1997
• Gu Hui, Chen Guangyi and Cao Wenming, “Image Matching Algorithm Based on Feature Point with Bidrectional Threshold”, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310031, Zhenjiang, China, 2005 IEEE.
• Hassan Hajjdiab and Robert Laganiere, ”Complexity Analysis of Feature- Based Image Matching”, World Academy of Science, Engineering and Technology 51, 2009.
• Ida JAZAYERI, Simon CRONK and Clive FRASER, ”A Feature Based Matching Approach to Automated Object Reconstruction in Multi-Image Close-Range Photogrammetry”, FIG Congress, Facing the Challenges – Building the Capacity, Sydney, Australia, 11-16 April 2010.
• Weili JIAO, Yaling FANG, Guojin, “An Integrated Feature Based Method for sub-pixel Image matching”, the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B1. , Beijing 100086, CHINA, 2008.
• Jazayeri, I., Fraser, “Interest Operators for Feature-Based Matching in Close-Range Photogrammetry”. Photogrammetric Record (in press) C.S. (2009).