Self-adaptation flotation froth image enhancement method based on fractional order differential

Abstract

The invention discloses a self-adaptation flotation froth image enhancement method based on a fractional order differential. The method comprises the following steps of: firstly, constructing a proper fractional order differential mask according to the feature of a fractional order differential and the feature of a flotation froth image; secondly, analyzing the relation between image quality and differential order through an experiment, selecting the contrast as the evaluation criteria of the flotation froth image quality, wherein the image quality and the differential order have a continuous and sole relation; and finally, processing the flotation froth image by using a deformation bisection method, using the image contrast as the image evaluation criteria, searching the order of the optimum fractional order differential and according to the obtained fractional order differential mask of the optimum order to obtain an enhanced image. By adopting the method, the time for searching the optimum differential order by manual debugging can be greatly saved, the enhanced image edge is protruded obviously, the texture is more clear, the image segmentation and feature extraction are more accurate, the technological parameter and recovery rate prediction accuracy are higher, optimized floatation production is realized, and mineral resource waste is reduced.

Description

[technical field] [0001] The invention relates to the field of mineral processing, image processing technology, differential equations and the like, and specifically relates to a fractional differential-based flotation foam image enhancement method. [Background technique] [0002] The flotation process is a mineral processing method widely used in mineral processing, involving extremely complex physical and chemical processes, and the visual characteristics of the foam image have a great internal relationship with the flotation conditions. Traditionally, flotation operations have been regulated by experienced workers by observing the visual characteristics of the froth on the surface of the flotation cells. In recent years, with the rapid development of computer technology, image processing and other technologies, a flotation foam image visual monitoring system has been developed to guide on-site workers to operate flotation production and provide a powerful tool for factory...

AI Technical Summary

Problems solved by technology

At present, when the fractional order differential method is used to process images, the determination of the differential order is manually debugged and selected by researchers based on experience, which consumes a lot of time and has no qualitative standards. In practical applications, it cannot meet the real-time requirements. , and the best results cannot be obtained

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