Constrained feature selection for semisupervised color-texture image segmentation using spectral clustering-Reference-Cited by-同舟云学术

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Constrained feature selection for semisupervised color-texture image segmentation using spectral clustering

Published:2021-02-19 Issue:01 Volume:30 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Salmi Abderezak¹,Hammouche Kamal¹,Macaire Ludovic²

Affiliation:

1. Université Mouloud Mammeri, Laboratoire Vision Artificielle et Automatique des Systèmes, Tizi-Ouzou

2. University of Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, Lille

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exemplar-Based Texture Synthesis Using Two Random Coefficients Autoregressive Models;Image Analysis & Stereology;2023-04-18

2. A method for high dynamic range 3D color modeling of objects through a color camera;Machine Vision and Applications;2022-11-24

3. An Image Segmentation Method Based on the Law of Universal Gravitation and Adaptive Affinity Propagation Spectrum Clustering;Mathematical Problems in Engineering;2022-09-13

4. Fuzzy Color Aura Matrices for Texture Image Segmentation;Journal of Imaging;2022-09-08

5. Automatic Extraction of Color Features from Landscape Images Based on Image Processing;Traitement du Signal;2021-06-30

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