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
Local Feature-Based Attribute Profiles for Optical Remote Sensing Image Classification
TL;DR: Experimental results show that LFAPs (respectively, LFSDAPs) can considerably improve the classification accuracy of the standard APs and the recently proposed histogram-based APs.
Proceedings ArticleDOI
Learning Discriminative Illumination and Filters for Raw Material Classification with Optimal Projections of Bidirectional Texture Functions
Chao Liu,Geifei Yang,Jinwei Gu +2 more
TL;DR: A computational imaging method for raw material classification using features of Bidirectional Texture Functions (BTF) and an LED-based multispectral dome is built, with which it is proposed to learn discriminative illumination patterns and texture filters.
Book ChapterDOI
HVS inspired system for script identification in indian multi-script documents
TL;DR: This work reports a script identification algorithm, which takes into account the fact that the script changes at the word level in most Indian bilingual or multilingual documents, and shows that the identification scheme, inspired from the Human Visual System (HVS), works consistently well for any of the combination of scripts experimented.
Probabilistic Gabor and Markov Random Fields Segmentation of B rain Tumours in MRI Volumes
N. K. Subbanna,T. Arbel +1 more
TL;DR: A fully automated technique two stage technique for segmenting brain tumours from multispectral human brain magnetic resonance images (MRIs) by constructing models not for just the tumours and the oedema, but also for the healthy tissues.
Journal ArticleDOI
Median local ternary patterns optimized with rotation-invariant uniform-three mapping for noisy texture classification
TL;DR: A multi-scale median LTP (MLTP) framework, which firstly designs a non-overlapped median sampling scheme to resist against noise, and then re-defines central descriptor, radial descriptor and magnitude descriptor for MLTP, and proposes the pattern mapping solution named rotation-invariant uniform three (riu3) so as to project original MLTP codes from high-dimensional patterns to low-dimensional ones.
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.