期刊名称：American Journal of Computing Research Repository
印刷版ISSN：2377-4606
电子版ISSN：2377-4266
出版年度：2014
卷号：2
期号：4
页码：61-65
DOI：10.12691/ajcrr-2-4-2
语种：English
出版社：Science and Education Publishing
摘要：Computer vision is one of the innovative methods in structure analyzing. In this paper computer vision and digital image processing were used for predict area of copper particle in the mineral soil. Iran is one of the most important mineral producers in the word and ranked among 15 major mineral-rich countries. The overall purpose has been to develop skills and techniques on detection and quantification of mineralogy and microstructures by means of various optical microscopy techniques and to study important microstructure parameters. In this research three new techniques are introduced: in first technique: images were decomposed to red, green and blue images. Secondly continuous and discrete wavelet transform of soil images were calculated. Finally percentage of energy for each wavelet coefficient was calculated. Accuracy of this analyze is under ±7.60% error in copper area estimation. symlets is selected the best wavelet for mineral analyzing. The threshold of copper energy coefficient is calculated equal to 3.23x10-4 in optical microscope images.
关键词：image processing; RGB image; wavelet transform; symlet wave; coefficient energy
