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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Proceedings ArticleDOI
Grating cell operator features for oriented texture segmentation
P. Kruizinga,N. Petkov +1 more
TL;DR: The performance of two well-known texture operators (based on Gabor-energy and the cooccurrence matrix) is compared with the performance of a new, biologically motivated texture operator, the grating cell operator, previously proposed by the authors.
Journal ArticleDOI
Classifying image texture with statistical landscape features
Cun Lu Xu,Yan Qiu Chen +1 more
TL;DR: Six novel texture feature curves based on the statistics of the geometrical and topological properties of the solids shaped by the graph and a variable horizontal plane are used to characterize the texture through this landscape.
Proceedings ArticleDOI
Unsupervised texture segmentation using monogenic curvelets and the Potts model
TL;DR: A minimization strategy based on the alternating direction method of multipliers and dynamic programming that allows the unsupervised segmentation of textured images using Potts functionals and has more favorable computational costs for high-dimensional data than graph cuts.
Journal ArticleDOI
A high precision crack classification system using multi-layered image processing and deep belief learning
Jun Jo,Zahra Jadidi +1 more
TL;DR: A new autonomous crack detection system (ACDS) that can be used in any autonomous vehicles (UAVs) that consists of three stages: image acquisition, image processing, and classification.
Journal ArticleDOI
Needle in a haystack: Interactive surgical instrument recognition through perception and manipulation
Tian Zhou,Juan P. Wachs +1 more
TL;DR: Experimental results indicate the applicability and effectiveness of a RSN to perform accurate and robust surgical instrument recognition.
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.