Title :
Multiple straight line detection based on labeling of pixels by Genetic Algorithm
Author :
Shimamura, Takashi ; Hashimoto, Manabu ; Fujiwara, Takayuki ; Funahashi, Takuma ; Koshimizu, Hiroyasu
Author_Institution :
Sch. of Inf. Sci. & Technol., Chukyo Univ., Toyota, Japan
Abstract :
This paper proposes a method for detecting two or more straight lines from an edge image in a similar way of Hough transform. The method consists of labeling of each edge point to presumed straight lines and RANSAC algorithm to evaluate each label. The Genetic Algorithm (GA), an efficient combinatorial optimization algorithm, is used for the labeling process, and the RANSAC is effective for high accuracy and speed-up. Some practical performances of this method have been proved through a simulation line picture with random noises.
Keywords :
Hough transforms; combinatorial mathematics; edge detection; genetic algorithms; GA; Hough transform; RANSAC algorithm; combinatorial optimization algorithm; edge image; edge point; genetic algorithm; multiple straight line detection; pixel labeling; Biological cells; Estimation; Gallium; Image edge detection; Labeling; Robustness; Transforms; Clustering; Genetic Algorithm; Hough transform; RANSAC; Straight line detection;
Conference_Titel :
Frontiers of Computer Vision (FCV), 2011 17th Korea-Japan Joint Workshop on
Conference_Location :
Ulsan
Print_ISBN :
978-1-61284-677-4
Electronic_ISBN :
978-1-61284-676-7
DOI :
10.1109/FCV.2011.5739730