Research on segmentation of coal slurry Botation froth image

In view of huge noise and severe combination of coal slurry Botation froth image, a segmentation method for coal slurry flotation froth image was proposed. At first, the contrast of the coal slurry flotation froth image increased so as to enhance the recognition of the subsequent coal slurry Botation froth image. And then, the area of structuring elements was increased unceasingly as well as opening and closing operation was reconstructed so as to filter various noises, and area reconstruction H-dome transformation and fuzzy c-means clustering (FCM) were applied to extract the marks of the froth image. Finally, the watershed transformation technology was used to segment the froth image. The method provided another segmentation alternative for coal slurry flotation froth image, and laid foundation for subsequent automated operation of coal slurry flotation.