Computation-efficient algorithms for image registration

Xin Qiu; Chai Huat Chong; Chien-Min Huang; Christopher M. U. Neale

doi:10.1117/12.185912

16 September 1994 Computation-efficient algorithms for image registration

Xin Qiu, Chai Huat Chong, Chien-Min Huang, Christopher M. U. Neale

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185912
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

Abstract

Two computation-efficient algorithms are presented for automatically generating matching pixels for image registration. The first algorithm is an efficient Sequential Spatial Search Algorithm. A window selection and searching approach incorporated with a post-processing technique are used for restricting the image search area in order to increase reliability of pixel matching. The second method is the Hierarchical Fuzzy C-varieties-based algorithm. The translation and rotation between two images are estimated based on a combination of the closest match both in the centroid value and the membership count. Through a match-and- search procedure, the linear transformation is determined between images. Both methods resulted in good image mosaicking quality even for large rotation and translation.

Citation Download Citation

Xin Qiu, Chai Huat Chong, Chien-Min Huang, and Christopher M. U. Neale "Computation-efficient algorithms for image registration", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185912

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