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   Articles with "texture classification" as a keyword



Local jet pattern: a robust descriptor for texture classification

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recommendations! Published in 2018 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-018-6559-3

Abstract: Methods based on locally encoded image features have recently become popular for texture classification tasks, particularly in the existence of large intra-class variation due to changes in illumination, scale, and viewpoint. Inspired by the theories… read more here.

Keywords: image; jet; local jet; texture ... See more keywords

Local ZigZag Max histograms of pooling pattern for texture classification

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recommendations! Published in 2019 at "Electronics Letters"

DOI: 10.1049/el.2018.7631

Abstract: The efficiency of any texture classification model confides on descriptor used for similarity matching. The formation of image descriptor is a challenging and important task in computer vision. This Letter introduces a local ZigZag Max… read more here.

Keywords: texture; texture classification; histograms pooling; max histograms ... See more keywords

Cross-Complementary Local Binary Pattern for Robust Texture Classification

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recommendations! Published in 2019 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2018.2881544

Abstract: The performance of local binary pattern (LBP) and many LBP-based variants is usually limited by rotation, illumination, scale, viewpoint, and the number of training samples. In view of this, this letter presents a robust image… read more here.

Keywords: texture; texture classification; local binary; binary pattern ... See more keywords

Training-Based Gradient LBP Feature Models for Multiresolution Texture Classification

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recommendations! Published in 2018 at "IEEE Transactions on Cybernetics"

DOI: 10.1109/tcyb.2017.2748500

Abstract: Local binary pattern (LBP) is a simple, yet efficient coding model for extracting texture features. To improve texture classification, this paper designs a median sampling regulation, defines a group of gradient LBP (gLBP) descriptors, proposes… read more here.

Keywords: classification; feature; glbp descriptors; gradient lbp ... See more keywords

C-CNN: Contourlet Convolutional Neural Networks

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recommendations! Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2020.3007412

Abstract: Extracting effective features is always a challenging problem for texture classification because of the uncertainty of scales and the clutter of textural patterns. For texture classification, spectral analysis is traditionally employed in the frequency domain.… read more here.

Keywords: cnn contourlet; texture classification; convolutional neural; neural networks ... See more keywords

A Texture Classification Approach Based on the Integrated Optimization for Parameters and Features of Gabor Filter via Hybrid Ant Lion Optimizer

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recommendations! Published in 2019 at "Applied Sciences"

DOI: 10.3390/app9112173

Abstract: Texture classification is an important topic for many applications in machine vision and image analysis, and Gabor filter is considered one of the most efficient tools for analyzing texture features at multiple orientations and scales.… read more here.

Keywords: texture; features gabor; gabor filter; texture classification ... See more keywords