Image registration error analysis using pattern recognition algorithms

Prakash Duraisamy; Yao Shen; Xiaohui Yuan

doi:10.1117/12.861095

14 September 2010 Image registration error analysis using pattern recognition algorithms

Prakash Duraisamy, Yao Shen, Xiaohui Yuan

Proceedings Volume 7799, Mathematics of Data/Image Coding, Compression, and Encryption with Applications XII; 77990J (2010) https://doi.org/10.1117/12.861095
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

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.

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Prakash Duraisamy, Yao Shen, and Xiaohui Yuan "Image registration error analysis using pattern recognition algorithms", Proc. SPIE 7799, Mathematics of Data/Image Coding, Compression, and Encryption with Applications XII, 77990J (14 September 2010); https://doi.org/10.1117/12.861095

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KEYWORDS

Image registration

Image segmentation

Error analysis

Detection and tracking algorithms

Image processing

Pattern recognition

Image processing algorithms and systems

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