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On Typical Implementations of Hough Transform for Improving
Perceptually Consistent Segmentation of Texture Using Multiple
Restoring Image Quality Through Structure Preserving Denoising
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3D model algorithm analysis applied approach B-rep Bayesian network camera candidate character classification color images Computer Vision constraint contour coordinate corresponding curve database defined disjointed points edge detection equation estimation Euclidean evaluation features extracted filter frequency function Gabor Gabor filters Gaussian geometric graph Hough transform hypotheses IEEE IEEE Trans image segmentation image sequence input image invariant label layout line segments linear log-polar image matrix method model object motion multiple neural network node noise object model object recognition object surface obtained occluding orientation paper parameters Pattern Recognition performance pixels plane pose problem Proc projection proposed range image recognition rate reconstruction region representation represented resolution robot robust rotation ruled line saliency sample scale scale space scene selected sensor shape shown in Figure shows solution space spatial specular reflection stereo structure superquadrics surface normal technique texture threshold vector views visual