Mineral belt image segmentation of shaking table based on Genetic algorithm

At present, segmentation and identification of shaking table's mineral belt image is artificial, which has the shortcomings of the lower accuracy and real-time. In order to overcome the defects and achieve automation of shaking table operation, this paper proposes mineral belt segmentation meth...

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Bibliographic Details
Published inWorld Automation Congress 2012 pp. 1 - 4
Main Authors He, Li-fang, Tong, Xiong, Huang, Song-wei
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2012
Subjects
Algorithm design and analysis
Belts
Convergence
genetic algorithm
Genetic algorithms
Image segmentation
Materials processing
Mineral belt image
Minerals
shaking table
thresholding
two-dimensional Otsu
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Summary:At present, segmentation and identification of shaking table's mineral belt image is artificial, which has the shortcomings of the lower accuracy and real-time. In order to overcome the defects and achieve automation of shaking table operation, this paper proposes mineral belt segmentation method based on genetic algorithm (GA) and two-dimensional Otsu. Experiments results show that the genetic algorithm is better than two-dimensional Otsu method in terms of segmentation accuracy, segmentation time, and convergence speed, and the genetic algorithm can separate middles from mineral belt, so GA is a better method for mineral belt image segmentation.
ISBN:1467344974
9781467344975
ISSN:2154-4824
2154-4832