Foam image color correction method based on spectrum information fusion and device thereof

Abstract

The invention discloses a foam image color correction method based on spectrum information fusion. An industrial camera is used for acquiring camera color data of a foam image. A visible light spectrum detection system is used for acquiring the spectrum information of the foam. Through analyzing the influence of an outer environment to the image color, a medium propagation color change model is established. The dark channel number of an original image is calculated. A medium propagation dissipation amount function of the image is solved. The spectrum information is fused for improving the medium propagation dissipation amount function. The color dissipation amount of each pixel point is corrected. The medium propagation color change model is also used for restoring the accurate color number of the foam image. The foam image color correction method has high pertinence for image blurring and color distortion caused by frequency light change and water mist in air in an industrial field environment. Furthermore spectrum equipment has no environment dependence and is particularly suitable for an industrial field.

Description

technical field [0001] The invention belongs to the fusion field of spectral analysis and computer digital image processing, and in particular relates to an image color correction method and device in the froth flotation process. Background technique [0002] Among the commonly used beneficiation methods, froth flotation is the most important ore extraction method. The color of the foam is not only closely related to the flotation production conditions, but also reflects the types of minerals contained in the foam and the degree of enrichment of mineral particles, which is an important basis for the operation of the flotation process. Therefore, accurate extraction of flotation froth color features is crucial. Industrial sites collect image color data through cameras, and the process of collecting images by industrial cameras is too dependent on the environment. The environment of the industrial site is harsh, and the light source is easily affected, resulting in unstable ...

AI Technical Summary

Problems solved by technology

[0006] The above algorithms are all aimed at data modeling based on a large amount of data analysis, without analyzing the causes of image color changes from the perspective of mechanism, and are not targeted at the color cast phenomenon in industrial sites

At the same time, the imaging process of industrial cameras is greatly affected by the external environment, and the image acquisition process cannot get rid of the dependence on the on-site environment. When the interference conditions increase, the correction method based on the analysis of color data cannot achieve a good correction effect

[0007] Analyzing the on-site environment of the mineral flotation industry, there are two major factors that cause inaccurate colors: the light of the on-site light source changes with time, and the imaging of the industrial camera changes due to the influence of the light source; the fog is diffuse, and the collected images are not clear, resulting in inaccurate colors

Images