DocumentCode :
167387
Title :
Application of Hausdorff distance in image matching
Author :
Li Zhu ; Chun-qiang Zhu
Author_Institution :
Dept. of Comput., Xi´an Univ. of Sci. & Technol., Xian, China
fYear :
2014
fDate :
8-9 May 2014
Firstpage :
97
Lastpage :
100
Abstract :
In this thesis, a novel algorithm for image matching based points is proposed. The algorithm matches feature points extracted from the detected image with their corresponding points in the reference image. The fundamental problem of point matching is to get the affine transformation between two point sets, which transforms one point set so that its distance from the other point set is minimized. The algorithm procedure is optimized which adopts Similarity measurement method based on information metrics. Metric distance used in the algorithm is the Hausdorff distance. This algorithm has strong anti disturbance and fault tolerance. At last,the thesis also pointed out the direction of further study.
Keywords :
affine transforms; feature extraction; image matching; affine transformation; fault tolerance; feature point extraction; image matching; information metrics; point matching; point sets; similarity measurement method; strong anti-disturbance; Robots; Hausdorff distance; Image matching; Image processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Computer and Applications, 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
Type :
conf
DOI :
10.1109/IWECA.2014.6845566
Filename :
6845566
Link To Document :
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