A Recognition Method based on Improved Watershed Segmentation Algorithm for Copper Flotation Conditions

The method for the extraction of flotation foam size features based on traditional image segmentation algorithm is seriously affected by the illumination. The effect of size features extraction is affected by a lot of adhesion of highlights in the flotation foam image. According to this phenomenon, an improved watershed segmentation algorithm is proposed for the extraction of flotation foam size features. The experimental results show that the proposed method for the extraction of flotation foam size features can be used for the condition identification well, which provides the possibility for the further optimization control of the flotation.