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An analysis of co-occurrence texture statistics as a function of grey level quantization
In this paper, the effect of grey level quantization on the ability of co-occurrence probability statistics to classify natural textures is studied. Generally, as a function of increasing greyExpand
  • 814
  • 45
  • Open Access
IRGS: Image Segmentation Using Edge Penalties and Region Growing
  • Q. Yu, David A Clausi
  • Medicine, Computer Science
  • IEEE Transactions on Pattern Analysis and Machine…
  • 1 December 2008
tl;dr
This paper proposes an image segmentation method named iterative region growing using semantics (IRGS), which is characterized by two aspects: 1) It uses a sequence of edge penalty functions to approximate the traditional Markov random field (MRF) context model in formulating the objective functions and 2) it uses a region growing technique in searching for the solutions to those objective functions. Expand
  • 195
  • 25
  • Open Access
Unsupervised segmentation of synthetic aperture Radar sea ice imagery using a novel Markov random field model
tl;dr
A new methodology for image segmentation is proposed, developed, and tested successfully for a variety of SAR sea ice imagery that uses image intensity to discriminate ice from water and texture features to identify distinct ice types. Expand
  • 186
  • 12
  • Open Access
Unsupervised image segmentation using a simple MRF model with a new implementation scheme
tl;dr
A Markov random field (MRF) model with a new implementation scheme is proposed for unsupervised image segmentation based on image features. Expand
  • 147
  • 12
  • Open Access
Designing Gabor filters for optimal texture separability
tl;dr
The discrimination of textures is a critical aspect of identi"cation in digital imagery. To attempt image texture segmentation, one must "rst determine preferred feature sets. Expand
  • 354
  • 11
  • Open Access
K-means Iterative Fisher (KIF) unsupervised clustering algorithm applied to image texture segmentation
tl;dr
The K-means Iterative Fisher (KIF) algorithm is a robust, unsupervised clustering algorithm applied here to the problem of image texture segmentation. Expand
  • 92
  • 11
  • Open Access
General Bayesian estimation for speckle noise reduction in optical coherence tomography retinal imagery.
An important image post-processing step for optical coherence tomography (OCT) images is speckle noise reduction. Noise in OCT images is multiplicative in nature and is difficult to suppress due toExpand
  • 146
  • 10
  • Open Access
Segmentation of Skin Lesions From Digital Images Using Joint Statistical Texture Distinctiveness
tl;dr
A novel texture-based skin lesion segmentation algorithm using the concept of TD is proposed. Expand
  • 98
  • 10
Automated Ice–Water Classification Using Dual Polarization SAR Satellite Imagery
tl;dr
Mapping ice and open water in ocean bodies is important for numerous purposes, including environmental analysis and ship navigation. Expand
  • 78
  • 10
  • Open Access
ARRSI: Automatic Registration of Remote-Sensing Images
  • A. Wong, David A Clausi
  • Mathematics, Computer Science
  • IEEE Transactions on Geoscience and Remote…
  • 23 April 2007
tl;dr
This paper presents the Automatic Registration of Remote-Sensing Images (ARRSI); an automatic registration system built to register satellite and aerial remotely sensed images. Expand
  • 181
  • 8
  • Open Access