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Vol. 160, Issue 12, December 2013, pp. 653-659




Straight Line Detection Based on Particle Swarm Optimization
Shengzhou XU, Jun TIE

College of computer science, South-Central University for Nationalities, Wuhan, 430074, China
E-mail: whkaociya@gmail.com


Received: 23 September 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems


Abstract: In order to reduce the computational time and improve the performance for straight line detection, a method based on particle swarm optimization (PSO) is proposed in this paper. First, each particle, which represents a straight line, is initialized by randomly selected two edge points from the binary image. Then, the accumulated number of the edge points on the straight line is obtained by calculating the distance between the edge point and the straight line, and as the fitness value of the corresponding particle. At last, if the fitness value of the global best solution is larger than the pre-set threshold, extract the straight line from the position of the best particle, otherwise, the algorithm ends. Comparing with Hough transform and improved randomized Hough transform, the proposed method can effectively reduce the problem of double counting and improve the accuracy and efficiency.


Keywords: Straight line, Detection, Hough transform, Particle swarm optimization, Fitness.


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