Results 11 to 20 of about 140,951 (296)
A computational model of texture segmentation [PDF]
Twenty-Second Asilomar Conference on Signals, Systems and Computers, 1988 An algorithm for finding texture boundaries in images is developed on the basis of a computational model of human texture perception. The model consists of three stages: (1) the image is convolved with a bank of even-symmetric linear filters followed by ...
Malik, Jitendra, Perona, Pietro
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Semantic segmentation of textured mosaics
EURASIP Journal on Image and Video Processing, 2023 This paper investigates deep learning (DL)-based semantic segmentation of textured mosaics. Existing popular datasets for mosaic texture segmentation, designed prior to the DL era, have several limitations: (1) training images are single-textured and ...
Melissa Cote +2 more
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Dynamic texture segmentation [PDF]
Proceedings Ninth IEEE International Conference on Computer Vision, 2003 We address the problem of segmenting a sequence of images of natural scenes into disjoint regions that are characterized by constant spatio-temporal statistics. We model the spatio-temporal dynamics in each region by Gauss-Markov models, and infer the model parameters as well as the boundary of the regions in a variational optimization framework ...
Gianfranco Doretto +3 more
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Deconvolution-segmentation for textured images [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Jean-François Giovannelli +1 more
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Integration of feature distributions for colour texture segmentation [PDF]
, 2004 This paper proposes a new framework for colour texture segmentation and determines the contribution of colour and texture. The distributions of colour and texture features provides the discrimination between different colour textured regions in an ...
Ghita, Ovidiu +2 more
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Bleeding Detection in Gastrointestinal Images using Texture Classification and Local Binary Pattern Technique: A Review [PDF]
E3S Web of Conferences, 2020 Texture analysis has proven to be a breakthrough in many applications of computer image analysis. It has been used for classification or segmentation of images which requires an effective description of image texture. Due to high discriminative power and
Goyal Aparna, Gunjan Reena
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Texture segmentation in Williams syndrome [PDF]
Neuropsychologia, 2007 Williams syndrome (WS) is a developmental disorder in which visuo-spatial cognition is poor relative to verbal ability. At the level of visuo-spatial perception, individuals with WS can perceive both the local and global aspects of an image. However, the manner in which local elements are integrated into a global whole is atypical, with relative ...
Farran, Emily K., Wilmut, Kate
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A Novel Color-Texture Descriptor Based on Local Histograms for Image Segmentation
IEEE Access, 2019 In this paper, we propose a novel color-texture image segmentation method based on local histograms. Starting with clustering-based color quantization, we extract a sufficient number of representative colors.
Yang Liu +3 more
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An Efficient Weakly Supervised Approach for Texture Segmentation via Graph Cuts
Journal of Intelligent Systems, 2013 We propose an approach for texture segmentation based on weak supervised learning. The weak supervision implies that the user marks only a single small patch for each class in the input image. These patches are used for training.
Bhavsar Arnav V.
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Multi-Phase Image Segmentation Based on Low-Rank Prior Decomposition
IEEE Access, 2022 Natural images generally contain both structure component and texture component. The existing image segmentation models based on piecewise smooth cannot handle such natural images containing texture well.
Jianlou Xu, Yuying Guo, Leigang Huo
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