Title: De-noising effect evaluation of froth images of coal flotation using improved information capacity based on grey level co-occurrence matrix

Authors: Mu-ling Tian; Jie-ming Yang

Addresses: Institute of Mechatronics Engineering, College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China ' Institute of Mechatronics Engineering, College of Electrical and Power Engineering, Taiyuan University of Technology, Taiyuan, China

Abstract: Froth images of coal flotation acquired in the actual production belong to the objective evaluation of non-reference since there are original ideal images for reference. In order to evaluate de-noising effect after the morphological open and close with reconstruction filtering by different structural elements, a de-noising evaluation method by improved information capacity based on grey level co-occurrence matrix is presented in this paper to solve evaluation of no reference images. Simulation results show that the de-noising evaluation by improved information capacity is simple, convenient, and quantified so as to execute automatically by programmes. More important, the evaluation is consistent with visual effect of people for image and can accurately reflect the effect of de-noising of froth images.

Keywords: coal flotation; morphological opening; morphological closing; reconstruction filtering; no reference evaluation; grey level co-occurrence matrix; GLCM; improved information capacity; image de-noising; froth images; simulation.

DOI: 10.1504/IJICT.2017.082085

International Journal of Information and Communication Technology, 2017 Vol.10 No.2, pp.193 - 205

Received: 16 Aug 2014
Accepted: 03 Oct 2014

Published online: 11 Jan 2017 *

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