This paper is a study on the shortages of algorithm based on grayscale with low matching speed and feature-based algorithm with low matching rates, meanwhile, the fast algorithm based on grayscale and feature-based algorithm for high matching rate are discussed, and try to combine them, expect to achieve fast matching with high matching rate. Introducing the concept of image entropy and projection characteristics to the image matching completely, to define the image local projection entropy, and an image matching method based on local projection entropy is proposed. Image matching method based on local projection entropy has good ability against geometric distortion, and further reduces the computation; the results indicate that this is a simple and effective method of image matching.

Date Published: 8 July 2011
PDF: 6 pages
Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80090E (8 July 2011);

Published in SPIE Proceedings Vol. 8009:
Third International Conference on Digital Image Processing (ICDIP 2011)
Ting Zhang, Editor(s)