Image registration using hough transform, phase correlation and best-first search algorithm

Simple item page
dc.contributor.authorChunhavittayatera, Siwaphon
dc.contributor.authorChitsobhuk, Orachat
dc.date.accessioned2026-08-06T09:55:35Z
dc.date.available2026-08-06T09:55:35Z
dc.date.issued2007-12-01
dc.description.abstractThis paper presents image registration using a combination of Hough transform, phase correlation and best-first search algorithm to estimate rotation and translation parameters. These parameters are used to register input images and create a seamless representation of the registered image. In the first step, the translation of angles are pre-calculated based on ID phase correlation in Hough space and used as candidate angles. Then, best-first search algorithm is applied to obtain the best translation of angle from candidate angles, which is used to de-rotated the input images. In the second step, the translation in x-y axis is computed using 2D phase correlation. Finally, the input images are registered using the estimated translation parameter. The experimental results using various image details and sizes show the accuracy of the proposed technique to detect the translation parameters. The best-first search algorithm can help to increase the precision of rotation parameter after Hough transform and phase correlation while require less amount of processing time compared to full search algorithm.
dc.identifier.citationLecture Notes in Engineering and Computer Science, 2, 1898-1902, 2007
dc.identifier.issn20780958
dc.identifier.other2-s2.0-84888341333
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/1709
dc.sourceLecture Notes in Engineering and Computer Science
dc.subjectBest-first search
dc.subjectFull search
dc.subjectHough transform image registration
dc.subjectPhase correlation
dc.titleImage registration using hough transform, phase correlation and best-first search algorithm
dc.typeConference Paper

Files

Collections

Research