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Proceedings ArticleDOI

A multi-channel filtering approach to texture segmentation

F. Farrokhnia, +1 more
- pp 364-370
TLDR
An integrated segmentation technique that combines the strengths of the previous two techniques while eliminating their weaknesses is proposed and is truly unsupervised, since it eliminates the need for knowing the exact number of texture categories in the image.
Abstract
Multichannel filtering techniques are presented for obtaining both region- and edge-based segmentations of textured images. The channels are represented by a bank of even-symmetric Gabor filters that nearly uniformly covers the spatial-frequency domain. Feature images are obtained by subjecting each (selected) filtered image to a nonlinear transformation and computing a measure of energy around each pixel. Region-based segmentations are obtained by using a square-error clustering algorithm. Edge-based segmentations are obtained by applying an edge detector to each feature image and combining their magnitude responses. An integrated segmentation technique that combines the strengths of the previous two techniques while eliminating their weaknesses is proposed. The integrated approach is truly unsupervised, since it eliminates the need for knowing the exact number of texture categories in the image. >

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Citations
More filters
Journal ArticleDOI

The Earth Mover's Distance as a Metric for Image Retrieval

TL;DR: This paper investigates the properties of a metric between two distributions, the Earth Mover's Distance (EMD), for content-based image retrieval, and compares the retrieval performance of the EMD with that of other distances.
Journal ArticleDOI

Unsupervised texture segmentation using Gabor filters

TL;DR: 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.
Proceedings ArticleDOI

A metric for distributions with applications to image databases

TL;DR: This paper uses the Earth Mover's Distance to exhibit the structure of color-distribution and texture spaces by means of Multi-Dimensional Scaling displays, and proposes a novel approach to the problem of navigating through a collection of color images, which leads to a new paradigm for image database search.
Journal ArticleDOI

Texture segmentation using 2-D Gabor elementary functions

TL;DR: It is shown analytically that applying a properly configured bandpass filter to a textured image produces distinct output discontinuities at texture boundaries; the analysis is based on Gabor elementary functions, but it is the bandpass nature of the filter that is essential.
Book

Perceptual metrics for image database navigation

Carlo Tomasi, +1 more
TL;DR: A novel approach to the problem of navigating through a collection of images for the purpose of image retrieval is presented, which leads to a new paradigm for image database search and a metric between any two such distributions is defined.
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Journal ArticleDOI

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Journal ArticleDOI

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Journal ArticleDOI

Multifrequency channel decompositions of images and wavelet models

TL;DR: The author describes the mathematical properties of such decompositions and introduces the wavelet transform, which relates to the decomposition of an image into a wavelet orthonormal basis.
Journal ArticleDOI

Multichannel texture analysis using localized spatial filters

TL;DR: An interpretation of image texture as a region code, or carrier of region information, is emphasized and examples are given of both types of texture processing using a variety of real and synthetic textures.