An Algorithm For Particle Size Analysis of Gravel Image By Using Gray-Value Vibration Frequency
Due to it is very extensive usage in the application of production practice and scientific research in the present,identifying particle size from digital image is an important technology.Up to now there have been some particle image size identification methods,such as the improved watershed algorithm for adhesive rice image segmentation,particle size analysis method based on spatial autocorrelation for deposit digital Image.But because the gravel image is a kind of special particle image,those methods are not very suitable for use in particle size analysis of gravel image.This paper puts forward a new particle image size identification method.Combing with the image threshold segmentation method,this new method is better able to extract gravel object from gravel image and rebuild the grid model of gravel size.
particle size analysis gray value vibration frequency gravel image image segmentation
Yu Siyu Li Shaohua Li Jun Song Daowan Shi Jinghua
College of Geosciences, Yangtze University, Wuhan 430100, China Research Institute of Geology, Shengli Oilfield Co.Ltd., Sinopec
国际会议
湖北荆州
英文
253-256
2013-05-18（万方平台首次上网日期，不代表论文的发表时间）