Abstract
With the increase of the camera resolution, the number of pixels contained in froth image is increased, which brings many challenges to image segmentation. Froth size and distribution are the important index in froth flotation. The segmentation of froth images is always a problem in building flotation model. In segmenting froth images, Otsu method is usually used to get a binary image for classification of froth images, this method can get a satisfactory segmentation result. However, each gray level is required to calculate each of the between-class variance, it takes a longer time in froth images with a large number of pixels. To solve this problem, an improved method is proposed in this paper. Most froth images have the pixel distribution characteristic that the gray histogram curve is a sawtooth shape. The proposed method uses polynomial to fit the curve of gray histogram and takes the characteristic of gray histogram's valley into consideration in Otsu method. Two performance comparison methods are introduced and used. Experimental comparison between Otsu method and the proposed method shows that the proposed method has a satisfactory image segmentation with a low computing time.
Highlights
In the monitoring and control of froth flotation, a key step is to analyze froth images
By observing the gray histogram of a large number of froth images, We found that there is a pixel distribution characteristic in the gray histogram: the number of pixels among the adjacent gray level is quite different, so that many "peak" and "valley" appear in the gray histogram
Based on the pixel distribution characteristic in the gray histogram, we combine the polynomial and the valley value to improve Otsu method, a fast threshold segmentation method is proposed in this paper
Summary
In the monitoring and control of froth flotation, a key step is to analyze froth images. Wang WX et al [13] used Otsu method to extract the white spot areas on froths, under which froth images are classified as the large, medium, small and mix-sized froth images, extract the froth edges by a set of valley-edge detection algorithms based on the different gray scale distribution characteristics of each class. The valley-emphasis threshold method and its improved method can effectively segment the image Such methods still need to calculate the data of each gray level, so the amount of calculation is large. Based on the pixel distribution characteristic in the gray histogram, we combine the polynomial and the valley value to improve Otsu method, a fast threshold segmentation method is proposed in this paper.
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