Results 41 to 50 of about 93,638 (313)
Texture feature extraction of coal-rock image based on variogram and local variance image
Gong-kuang zidonghua, 2018 In view of problems of low classification accuracy and algorithmic running efficiency and poor robust property of rotation texture recognition existed in local binary patterns for texture feature extraction of coal-rock, a texture feature extraction ...
HUANG Lei, GUO Chaoya
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Block-based cloud classification with statistical features and distribution of local texture features [PDF]
Atmospheric Measurement Techniques, 2015 This work performs cloud classification on all-sky images. To deal with mixed cloud types in one image, we propose performing block division and block-based classification.
H.-Y. Cheng, C.-C. Yu
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A New LBP Variant: Corner Rhombus Shape LBP (CRSLBP)
Journal of Imaging, 2022 The local binary model is a straightforward, dependable, and effective method for extracting relevant local information from images. However, because it only uses sign information in the local region, the local binary pattern (LBP) is ineffective at ...
Ibtissam Al Saidi +2 more
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Multi texture analysis of colorectal cancer continuum using multispectral imagery
, 2016 Purpose This paper proposes to characterize the continuum of colorectal cancer (CRC) using multiple texture features extracted from multispectral optical microscopy images.
Camel Tanougast (2270119) +17 more
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EURASIP Journal on Advances in Signal Processing, 2005 An appropriate definition and efficient computation of similarity (or distance) measures between two stochastic models are of theoretical and practical interest.
Chen Ling, Man Hong
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Scale-Adaptive Texture Classification [PDF]
2014 22nd International Conference on Pattern Recognition, 2014 Scale invariant texture analysis is a fundamental challenge in image processing. As a consequence of the scale invariance, these kind of features are often characterized by a lower discriminative power. We observed, that scale invariant features did not pose a benefit in classification scenarios with varying scales in the training set. This is supposed
Michael Gadermayr +2 more
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Evaluation of local orientation for texture classification [PDF]
, 2008 The aim of this paper is to present a study where we evaluate the optimal inclusion of the texture orientation in the classification process. In this paper the orientation for each pixel in the image is extracted using the partial derivatives of the ...
Ilea, Dana E. +2 more
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Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Classification of Hydrological Relevant Parameters by Soil Hydraulic Behaviour
Geosciences, 2019 Soil water simulations on hydrological meso- or macroscale require parameters that describe the physical characteristics of the soil. At these scales, information regarding soil properties is mostly only available on very coarse spatial resolutions with ...
Phillip Kreye +3 more
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Colour texture segmentation using evidence gathering [PDF]
, 2012 A new approach to colour-texture segmentation is presented which uses Local Binary Pattern data and a new colour quantisation scheme based on hue and saturation to provide evidence from which pixels can be classified into texture classes.
B.M. Waller +5 more
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