Study On The Analysis Methods Of Coal Slime Flotation Bubble Image Based On MATLAB

The visual features of surface of flotation bubbles,produced in coal slime flotation process,directly reflect the performance condition and index of flotation.However,flotation process is still guided based on the observation of foam state by human in commercial production,the study on automatic application in coal slime flotation is still in the preliminary stage.The optimal flotation condition is hard to achieve in current situation with artificial adjustment.Therefore,developing a coal flotation froth image processing system,based on the latest machine vision technology,is essential.With which visual characteristic parameters of flotation froth can be extracted and the precise and effective feature parameter information can be obtained for further guide of in commercial production of coal flotation.The following contents are mainly included in this paper:Based on the uniqueness of slime flotation froth image and the domestic and abroad research status of image processing technology,control interface of was firstly developed for the coal flotation froth image processing system via MATLAB software.Considering the industrial demand of coal flotation process,the system was consisting of image analysis module,image enhancement module,image segmentation module,feature extraction module.The gray level image and gray histogram of flotation froth image were studied and the correlation between the mean image gray and ash was also analyzed.According to the present situation of the complex environment of coal flotation plant,studies on the spatial domain image enhancement and the frequency domain image enhancement were carried out,the treatment effect of each algorithm was compared and finally,proposes a hybrid image enhancement algorithm.Study on the classic image segmentation algorithm was conducted,and the advantages and disadvantages of each algorithm were analyzed and compared in detail.An improved segmentation algorithm was proposed based on the above.The results of the segmentation indicated that the segmentation algorithm had a better segmentation flotation froth image,the common problems of under segmentation and over segmentation were well solved.The extraction of five parameters,including energy,moment of inertia,entropy,correlation,and inverse difference moment,were studied and correlation analysis these parameters and ash were conducted as well.According to the variation tendency of these parameters with the flotation froth state,this paper proposed a parameter of texture complexity,which has important representative significance.When the fluctuation range of texture complexity is between 110 and 130,ash content of clean coal is lower and range from 4.89% to 7.71%.