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Proceedings Paper

Image registration error analysis using pattern recognition algorithms
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Paper Abstract

Image segmentation is one of the important applications in computer vision applications. In this paper, we present an image registration method that stiches multiple images into one complete view. Also, we demonstrate how image segmentation is used as an error metric to evaluate image registration. This paper explains about the error analysis using pattern recognition algorithm such as watershed algorithm for calculating the error for image registration applications. In this paper, we compare pixel intensity-based error metric with object-based error metric for evaluating the registration results. We explain in which situation pattern recognition algorithm is superior to other conventional algorithm such as mean square error.

Paper Details

Date Published: 15 September 2010
PDF: 9 pages
Proc. SPIE 7799, Mathematics of Data/Image Coding, Compression, and Encryption with Applications XII, 77990J (15 September 2010); doi: 10.1117/12.861095
Show Author Affiliations
Prakash Duraisamy, Univ. of North Texas (United States)
Yao Shen, Univ. of North Texas (United States)
Xiaohui Yuan, Univ. of North Texas (United States)


Published in SPIE Proceedings Vol. 7799:
Mathematics of Data/Image Coding, Compression, and Encryption with Applications XII
Mark S. Schmalz; Gerhard X. Ritter; Junior Barrera; Jaakko T. Astola, Editor(s)

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