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Froth homogeneity analysis using rotate classification fuzzy texture spectrum for mineral flotation process monitoring

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The article was published on 2013-01-01 and is currently open access. It has received 4 citations till now. The article focuses on the topics: Homogeneity (statistics).

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Journal ArticleDOI

Froth Image Acquisition and Enhancement on Optical Correction and Retinex Compensation

TL;DR: A new system for image acquisition of the lead flotation is studied, which constructs the free-form surface lens based on the non-imaging optics theory and can improve the optical efficiency of the lens and the uniformity of light sources, and can reduce flare effects.
Proceedings ArticleDOI

Texture information fusion based image classification

Ren Huifeng
TL;DR: A novel method based on one against one support vector machines (OAOSVM) is realized and can accomplish image classification with higher accuracy on several standard image datasets than other methods.
Proceedings ArticleDOI

Multi-stage Features Sparse Learning Based Scene Recognition of Hyperspectral Image

TL;DR: In this article, a multi-stage features sparse learning method for hyperspectral image scene recognition is proposed, which is decomposed into five scales by Gaussian function at eight angles.
Proceedings ArticleDOI

Fuzzy co-occurrence matrix fusion based texture feature extraction

TL;DR: Experiments assisted by one-against-rest support vector machine on benchmark texture datasets have shown that the proposed method, considering the directional differences and uncertainty probability of GLCM, provides a better rotation invariance and robustness than the other improved G LCM.
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