Detection of lines in noisy image is not easy. When using Hough transform, multiple false peaks may be generated from collinear noisy edge points, which in turn may create false line segments. To overcome this problem, we introduce a method for detecting lines in noise based on directional information. Orientations are generated by Gabor filters to guide an anisotropic Gaussian filtering process, and they are also used in the peak selection in Hough transform. The experimental results show the effectiveness of this method. 1
The Hough Transform is a method for detecting curves by exploiting the duality between points on a c...
This paper contains a brief literature survey of applications and improvements of the Hough transfor...
A new algorithm for nding lines in images under a bounded error noise model is described. The algori...
Hough Transform (HT) is a widely used method for finding lines, circles and other image features by ...
A robust and fast line detection method based on Hough transform (HT) is proposed in this paper. Edg...
We developed an integration-based line detection algorithm. Existing line detection methods such as ...
[[abstract]]A modified Hough transform based on a likelihood principle of connectivity and thickness...
International audienceIn this work we present a novel kernel-based Hough Transform method for robust...
Finding arbitrary shapes within image data is a problem with applications ranging from Internet sear...
International audienceA novel region-based weighted Hough Transform (HT) method for robust line dete...
The detection of straight lines and other types of curves is a very important operation in digital i...
Texture is one of the important image characteristics and is used to identify objects or regions of ...
Hough proposed an algorithm for detecting lines in pictures. His algorithm, based on a slope-interc...
Abstract The Hough Transform (HT) is an effective and popular technique for detecting image features...
Abstract—Non-collinear edge pixels are equivalent to noise for the linear Hough transform (LHT). Exi...
The Hough Transform is a method for detecting curves by exploiting the duality between points on a c...
This paper contains a brief literature survey of applications and improvements of the Hough transfor...
A new algorithm for nding lines in images under a bounded error noise model is described. The algori...
Hough Transform (HT) is a widely used method for finding lines, circles and other image features by ...
A robust and fast line detection method based on Hough transform (HT) is proposed in this paper. Edg...
We developed an integration-based line detection algorithm. Existing line detection methods such as ...
[[abstract]]A modified Hough transform based on a likelihood principle of connectivity and thickness...
International audienceIn this work we present a novel kernel-based Hough Transform method for robust...
Finding arbitrary shapes within image data is a problem with applications ranging from Internet sear...
International audienceA novel region-based weighted Hough Transform (HT) method for robust line dete...
The detection of straight lines and other types of curves is a very important operation in digital i...
Texture is one of the important image characteristics and is used to identify objects or regions of ...
Hough proposed an algorithm for detecting lines in pictures. His algorithm, based on a slope-interc...
Abstract The Hough Transform (HT) is an effective and popular technique for detecting image features...
Abstract—Non-collinear edge pixels are equivalent to noise for the linear Hough transform (LHT). Exi...
The Hough Transform is a method for detecting curves by exploiting the duality between points on a c...
This paper contains a brief literature survey of applications and improvements of the Hough transfor...
A new algorithm for nding lines in images under a bounded error noise model is described. The algori...