NSST domain flotation froth image enhancement and denoising method based on quantum harmony search fuzzy set

Abstract

The invention relates to an NSST domain flotation froth image enhancement and denoising method based on a quantum harmony search fuzzy set. The NSST domain flotation froth image enhancement and denoising method comprises the steps: carrying out NSST decomposition on a flotation froth image, and obtaining a low-frequency sub-band image and multi-scale high-frequency sub-bands; performing quantum harmony search fuzzy set enhancement on the low-frequency sub-band image; secondly, for the multi-scale high-frequency sub-bands, removing a noise coefficient by combining an improved BayesShrink thresholding and scale correlation, and enhancing an edge coefficient and a texture coefficient through a nonlinear gain function; and finally, performing NSST reconstruction on coefficients of the processed low-frequency sub-band and each high-frequency sub-band to obtain an enhanced de-noised image. According to the NSST domain flotation froth image enhancement and denoising method, the brightness, the contrast and the definition of the froth image can be improved, and the froth edge is obviously enhanced while noise is effectively inhibited, and more texture details are reserved, and subsequent processing such as froth segmentation and edge detection is facilitated.

Description

technical field [0001] The invention relates to the technical field of flotation froth image enhancement, in particular to an NSST domain flotation froth image enhancement and denoising method based on quantum harmony search fuzzy sets. Background technique [0002] Due to the harsh environment of the mineral flotation site, uneven lighting, a large amount of dust, and heavy fog, the foam image captured by the on-site image acquisition system has low contrast, inconspicuous bubble edges, and a lot of noise interference, which is not conducive to subsequent image analysis and processing. Image enhancement and denoising are important technologies in image processing, which can improve the visual effect of flotation froth images and lay the foundation for subsequent froth image feature extraction, image recognition, and image analysis. [0003] In recent years, several enhancement methods for flotation froth images have emerged. In terms of enhancement methods based on the spa...

AI Technical Summary

Problems solved by technology

In terms of enhancement methods based on the space domain, homomorphic filtering or adaptive multi-scale Retinex algorithm is used to enhance the foam image, which improves the contrast of the foam image, but ignores the weak image edge and noise interference

In order to effectively suppress noise while enhancing image details, researchers have introduced a transform domain method based on wavelet transform. Due to the limited directionality of wavelet transform, continuous edge parts cannot be distinguished, which easily reduces the clarity of the image.

Histogram equalization and Contourlet transformation are used to enhance the edge of flotation foam image, which improves the brightness uniformity of the image and enhances the edge of the bubble. However, after performing Contourlet transformation on the noise image, it is easy to cause the loss of details inside the bubble and some noise amplification

Combining Retinex and NSCT transformation to enhance the flotation foam image, improve the contrast of the image, enhance the edge details and suppress the noise at the same time, but the high-frequency sub-band adopts the Bayesian shrinkage threshold to remove the noise, which may easily cause the noise coefficient greater than the threshold to be mixed into the edge While being enhanced, the weak edge coefficients smaller than the threshold are removed, distorting some edge details

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