A New Flotation Froth Texture Feature Extraction Method Based on PCA

Abstract

In flotation production, the surface texture of the flotation froth is an important visual information reflecting the ore grade, which is closely related to the flotation conditions and directly reflects the mineralization degree (grade level) of the froth layer. Aiming at the problem that the texture feature extraction of the existing flotation froth image does not consider the froth surface particle, a new local texture feature extraction method based on PCA (Principle Component Analysis) algorithm is proposed and a new texture feature granularity is defined. Firstly, the froth image is segmented, the region of interest is extracted and the particle factor is defined. Then the texture feature is extracted by PCA algorithm and the correlation between particle size and zinc concentrate taste is analyzed. The experimental results verify the algorithm effectiveness and indicating that it can more accurately regulate the position of minerals and guide flotation production.