Hough transform modified by line connectivity and line thickness

Yang, Mark C. K.; Lee, Jong-Sen; Lien, Cheng–Chang; Huang, Chung‐Lin

doi:10.1109/34.608293

Cited by 46 publications

(16 citation statements)

References 26 publications

(31 reference statements)

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“…For this purpose, they use weighted accumulations. The use of the connectivity may improve accuracy in noisy images, as reported in [4,20].…”

Section: Kyrki and H Kølviøinenmentioning

confidence: 87%

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Combination of Local and Global Line Extraction

Kyrki

Kälviäinen

2000

Real-Time Imaging

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“…For this purpose, they use weighted accumulations. The use of the connectivity may improve accuracy in noisy images, as reported in [4,20].…”

Section: Kyrki and H Kølviøinenmentioning

confidence: 87%

“…Several approaches for local line extraction have been proposed [3,4,11,12,19,20]. Yang and Lee [20] proposed recently an approach using line connectivity and line thickness to cope with short lines and thick lines. For this purpose, they use weighted accumulations.…”

Section: Kyrki and H Kølviøinenmentioning

confidence: 99%

Combination of Local and Global Line Extraction

Kyrki

Kälviäinen

2000

Real-Time Imaging

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“…Besides, due to its low computation time, this line extraction method was preferred to the Hough Transform technique, which we also experimented, and which is widely used for line detection in noisy images, with extensions also accounting for line connectivity and thickness, as in Yang et al (1997).…”

Section: Straight White Line Extractormentioning

confidence: 99%

A multimode navigation system for an assistive robotics project

et al. 2008

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Assistive technology is an emerging area, where robotic devices can help individuals with motor disabilities to achieve independence in daily activities. This paper deals with a system that provides remote control of Sony AIBO, a commercial mobile robot, within the assistive project ASPICE. The robot can be controlled by various input devices, including a Brain-Computer Interface. AIBO has been chosen for its friendly-looking aspect, in order to ease interaction with the patients. The development of the project is described by focusing on the design of the robot navigation system. Single step, semi-autonomous and autonomous navigation modes have been realized to provide different levels of control. Automatic collision avoidance is integrated in all cases. Other features of the system, such as the video feedback from the robotic platform to the user, and the use of AIBO as communication aid, are briefly described. The performance of the navigation system is shown by simulations as well as experiments. The system has been clinically validated, in order to obtain a definitive assessment through patient feedback. © 2008 Springer Science+Business Media, LLC

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“…Spurious edge points, arising from noise and/or textures, vote for in inexistent lines, compromising in a particularly critical way the detection of short line segments. Although it was pointed out as early as in the 70s that the effect of spurious votes could be reduced by enforcing the connectivity of edge points contributing to each segment [4] received little attention (exceptions are [5,6,3]). The method Segment exTRAction by connectivity-enforcInG HT (STRAIGHT) [3] obviates this but at a prohibitive computational cost for many applications, since it computes one HT per edge point.…”

Section: Introductionmentioning

confidence: 99%

Extraction of line segments in cluttered images via multiscale edges

Guerreiro¹,

Aguiar²

2013

2013 IEEE International Conference on Image Processing

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Current methods for line segment extraction often fail in challenging scenarios that abound in real-life images, e.g., those containing corrupted lines, of various widths, with multiple crossings, and immersed in clutter. We propose a method that tackles these issues by combining multiscale edges while taking line segment connectivity into account. In particular, we use two scales originating what we call contextual and local edges, obtained with filters of, respectively, large and small footprints. Contextual edges are robust to noise and our method uses them validate local edges, i.e., to only select the local edges that correspond to the same intensity transition (dark-tobright or vice-versa). Line segment connectivity is enforced by joining the valid local edges whose distance does not exceed a threshold. To enable dealing with situations where the edges divide regions of non-uniform intensity distributions, e.g., textures, the contextual edges are decided by using a two-sample statistical test. We present experiments that illustrate how our method is efficient in extracting complete segments in several situations where current methods fail.

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Hough transform modified by line connectivity and line thickness

Abstract: A modified Hough transform based on a likelihood principle of connectivity and thickness is proposed for line detection. It makes short as well as thick line segments easier to detect in a noisy image. Certain desirable properties of the new method are justified by theory and simulations.

Cited by 46 publications

References 26 publications

Combination of Local and Global Line Extraction

Combination of Local and Global Line Extraction

A multimode navigation system for an assistive robotics project

Extraction of line segments in cluttered images via multiscale edges

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