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《Opto-Electronic Engineering》 2007-01
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Method for line detection based on RHT-LSM

ZHOU Yun-yan,YANG Kun-tao ( Department of Optoelectronic Engineering, Huazhong University of Science & Technology, Wuhan 430074, China )  
Based on strong resistance to noise of Randomized Hough Transform (RHT) and high fitting precision of Least Square Method (LSM), a new method to detect lines in image was presented on the basis of RHT and LSM. At first, approximate position of lines was confirmed, and the parameters and quantity of the lines were computed by RHT. And then, the distance was computed from every point to each line detected by RHT. Based on the distances, the points on the line and near the line belonged to the same cluster, so several point sets could be obtained whose number was equal to the number of the line. The point sets in the vicinity of each line were extracted and the disturbance or noise far from the line was deleted. At last, we got the exact line parameters after fitting the points within each sets with LSM. This arithmetic performs well when an image has strong background noise. Furthermore, certain bending lines can be detected precisely. Experiments with the dynamic recognition of train brake beam show that the method is feasible and effective.
【CateGory Index】: TP391.41
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