A three-step technique of robust line detection with modified Hough transform

Huijun Di; Lei Wang; Guangyou Xu

doi:10.1117/12.538699

25 September 2003 A three-step technique of robust line detection with modified Hough transform

Huijun Di, Lei Wang, Guangyou Xu

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538699
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

Abstract

Line detection is one of the most long-lasting problems in image processing. In this paper, we address the problem of detecting strong/weak lines and long/short lines in gray level images simultaneously. Our technique consists of three steps: image gradient enhancement, modified Hough Transform (HT) and line fitting. The gradient direction is fully exploited in our technique, which provides additional cues for weak line detection. Experiments on various images are presented to verify our approach. The results show that our technique has a superior detection rate than conventional HT algorithm, especially for short and weak lines.

Citation Download Citation

Huijun Di, Lei Wang, and Guangyou Xu "A three-step technique of robust line detection with modified Hough transform", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538699

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