Abstract
A novel flotation froth image segmentation based on threshold level set method is put forward in view of the problem of over-segmentation and under-segmentation which occurs when the existing method segmented the flotation froth images. Firstly, the proposed method adopts histogram equalization to improve the contrast of the image, and then chooses the upper threshold and lower threshold from grey value of histogram of the image equalization, and complete image segmentation using the level set method. In this paper, the model which integrates edge with region level set model is utilized, and the speed energy term is introduced to segment the target. Experimental results show that the proposed method has better segmentation results and higher segmentation efficiency on the images with under-segmentation and incorrect segmentation, and it is meaningful for ore dressing industrial.
Highlights
Flotation is a most extensive mineral processing method in mineral mental refining application
The proposed method adopts histogram equalization to improve the contrast of the image, and chooses the upper threshold and lower threshold from grey value of histogram of the image equalization, and complete image segmentation using the level set method
The geodesic active contour (GAC) model cannot accurate segment the object with deep low-lying regions, this paper introduces a constant speed which set to c in integrated active contour model (IAC) model to guide curve evolution, the energy functional is defined the by:
Summary
Flotation is a most extensive mineral processing method in mineral mental refining application. Its froth surface characteristics such as shape, size and so on are the key to judge the mineral quality. Much research has been carried out by many researchers and scholars. Vincent [1] put forward the novel methodology based on immersion watershed in 1991. Along with deeper research, Guoqing Zhao [2] et al has introduced morphological reconstruction in order to overcome the over-segmentation problem. Nowadays at home and broad such as Liu Jinping [3] et al put forward a novel segmentation algorithm based on the characteristics of grayscale distribution of flotation froth image by analyzing the grayscale distribution of each segment
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
