Abstract
As for the sensitivities of traditional Hausdorff distance to the noise and isolated point, which contribute to the lower matching ratio, this paper puts forward an improved Hausdorff distance model by genetic algorithm to optimize the transformation parameters. On the basis of a comprehensive analysis of the theory frame from different images matching techniques, a combined algorithm idea is proposed, using Hausdorff distance as the image measure function and using genetic algorithm as the search strategy to realize the image registration. Comparison with some recent patents on traditional algorithm,experiment shows that the improved Hausdorff distance by genetic algorithm can be a very good solution to robustness problem of the traditional algorithm, and has a higher matching speed in the case of the same edge points of image.
Keywords: Genetic algorithm, grayscale, hausdorff distance, image registration, isolated point.
Recent Patents on Engineering
Title:Optimal Transformation Parameter Optimization with Genetic Algorithm in Image Registration Within Hausdorff Distance
Volume: 8 Issue: 1
Author(s): Junfang Tang
Affiliation:
Keywords: Genetic algorithm, grayscale, hausdorff distance, image registration, isolated point.
Abstract: As for the sensitivities of traditional Hausdorff distance to the noise and isolated point, which contribute to the lower matching ratio, this paper puts forward an improved Hausdorff distance model by genetic algorithm to optimize the transformation parameters. On the basis of a comprehensive analysis of the theory frame from different images matching techniques, a combined algorithm idea is proposed, using Hausdorff distance as the image measure function and using genetic algorithm as the search strategy to realize the image registration. Comparison with some recent patents on traditional algorithm,experiment shows that the improved Hausdorff distance by genetic algorithm can be a very good solution to robustness problem of the traditional algorithm, and has a higher matching speed in the case of the same edge points of image.
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Cite this article as:
Tang Junfang, Optimal Transformation Parameter Optimization with Genetic Algorithm in Image Registration Within Hausdorff Distance, Recent Patents on Engineering 2014; 8 (1) . https://dx.doi.org/10.2174/1872212107666131213225355
DOI https://dx.doi.org/10.2174/1872212107666131213225355 |
Print ISSN 1872-2121 |
Publisher Name Bentham Science Publisher |
Online ISSN 2212-4047 |
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