Unsupervised texture segmentation using Gabor filters
Anil K. Jain,Farshid Farrokhnia +1 more
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TLDR
A texture segmentation algorithm inspired by the multi-channel filtering theory for visual information processing in the early stages of human visual system is presented, which is based on reconstruction of the input image from the filtered images.About:
This article is published in Pattern Recognition.The article was published on 1991-12-01 and is currently open access. It has received 2351 citations till now. The article focuses on the topics: Image texture & Texture filtering.read more
Citations
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Journal ArticleDOI
Using Gabor filter for the illumination invariant recognition of color texture
Mohammed Al-Rawi,Jie Yang +1 more
TL;DR: Experimental results show that the model is successful in recognizing color texture independent of the change in the spectral illuminations.
Journal ArticleDOI
A fourth order PDE based fuzzy c- means approach for segmentation of microscopic biopsy images in presence of Poisson noise for cancer detection.
TL;DR: An efficient fuzzy c-means based segmentation approach which is capable of effectively handling the segmentation problem of blocky artifacts while achieving good tradeoff between Poisson noise removals and edge preservation of the microscopic biopsy images during segmentation process for cancer detection from cells.
Journal ArticleDOI
Artificial intelligence based system to improve the inspection of plastic mould surfaces
André Felipe Henriques Librantz,Sidnei Alves de Araújo,Wonder Alexandre Luz Alves,Peterson Adriano Belan,Rafael A. Mesquita,Antonio H. Selvatici +5 more
TL;DR: The results showed that the proposed system is able to mapping and classifying several damages over the polished surface and could be an alternative to reduce efficiently the costs and the spending time in mould surface inspection tasks.
Book ChapterDOI
A Cognitive Vision Approach to Image Segmentation
Vincent Martin,Monique Thonnat +1 more
TL;DR: The objective is to propose a cognitive vision approach to the image and video segmentation problem, introducing learning and adaptability capacities into the segmentation task by learning the contextual variations of images in order to discriminate between different segmentation actions.
Proceedings ArticleDOI
SVM spatio-temporal vegetation classification using HR satellite images
S. Réjichi,F. Chaâbane +1 more
TL;DR: This paper proposes a new HR spatio-temporal vegetation classification approach based on SVM that is first applied on satellite images time series then a graph based SVM algorithm is used for temporal analysis.
References
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A theory for multiresolution signal decomposition: the wavelet representation
TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
Journal ArticleDOI
Statistical and structural approaches to texture
TL;DR: This survey reviews the image processing literature on the various approaches and models investigators have used for texture, including statistical approaches of autocorrelation function, optical transforms, digital transforms, textural edgeness, structural element, gray tone cooccurrence, run lengths, and autoregressive models.
Journal ArticleDOI
Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters.
TL;DR: Evidence is presented that the 2D receptive-field profiles of simple cells in mammalian visual cortex are well described by members of this optimal 2D filter family, and thus such visual neurons could be said to optimize the general uncertainty relations for joint 2D-spatial-2D-spectral information resolution.