Scholarly record
AN ADAPTIVE APPROACH FOR BUBBLE SIZE MEASUREMENT FROM FLOTATION FROTH IMAGES
Abstract
Froth flotation is an effective process for separating valuable from gangue minerals. Studies show that the performance of froth flotation is affected by the froth structure, and has a strong relationship with visual information of the froth surface. The determination of the froth structure, therefore, plays a vital role for controlling the process. Extensive studies have shown that computer-based vision technology is a robust, non-intrusive and cost effective approach for monitoring and controlling of flotation circuits. Despite recent advances in image analysis and several algorithms developed for froth flotation, there is not still a comprehensive algorithm to be able to accurately determine the froth features in real froth images with wide range of bubble size distributions. Since bubble segmentation process is the most critical stage in an image processing algorithm, in the present study a new bubble segmentation algorithm is proposed which utilizes an adaptive marker based watershed transform.
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References5
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Paul R. Hill, C. Nishan Canagarajah, and David R. Bull, Image Segmentation Using a Texture Gradient Based Watershed Transform, IEEE Transactions on Image Processing, vol. 12, No. 12, December 2003.
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