Image recognition technology based on projection entropy

Dejun Tang; Weishi Zhang; Chen Wang; Min Jiang

doi:10.1117/12.896138

8 July 2011 Image recognition technology based on projection entropy

Dejun Tang, Weishi Zhang, Chen Wang, Min Jiang

Proceedings Volume 8009, Third International Conference on Digital Image Processing (ICDIP 2011); 80090E (2011) https://doi.org/10.1117/12.896138
Event: 3rd International Conference on Digital Image Processing, 2011, Chengdu, China

Abstract

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.

Citation Download Citation

Dejun Tang, Weishi Zhang, Chen Wang, and Min Jiang "Image recognition technology based on projection entropy", Proc. SPIE 8009, Third International Conference on Digital Image Processing (ICDIP 2011), 80090E (8 July 2011); https://doi.org/10.1117/12.896138

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