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
Address block location on envelopes using Gabor filters
TL;DR: A simple method is presented for automatically identifying regions in envelope images which are candidates for being the destination address and the success of the texture-based segmentation algorithm for identifying address blocks is demonstrated.
Journal ArticleDOI
Unsupervised texture segmentation using multichannel decomposition and hidden Markov models
Jia-Lin Chen,A. Kundu +1 more
TL;DR: An automatic unsupervised texture segmentation scheme using hidden Markov models (HMMs) that compares favorably with respect to other successful schemes reported in the literature.
Journal ArticleDOI
Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer.
TL;DR: This work presents a cascaded (CAS) approach to classifying prostate biopsy tissue samples, where images from different classes are grouped to maximize intra-group homogeneity while maximizing inter-group heterogeneity.
Journal ArticleDOI
Content-based medical image classification using a new hierarchical merging scheme
TL;DR: A hierarchical medical image classification method including two levels using a perfect set of various shape and texture features, including a tessellation-based spectral feature as well as a directional histogram has been proposed.
Book ChapterDOI
Clustering of Spatial Data by the EM Algorithm
TL;DR: It is proposed to penalize the energy function exhibited by Hathaway (1986) with a term taking into account spatial contiguity constraints, and the structure of the EM algorithm may be used to maximize the proposed criterion.
References
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Journal ArticleDOI
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.