Title :
Image Analysis of Size and Shape of Mineral Particles
Author_Institution :
Henan Polytech. Univ., Jiaozuo
Abstract :
Mineral analysis is very important in engineering geology. It is often that a geologist analyzes minerals on an image under microscope, or by taking photos. It is difficult to recognize minerals automatically due to the complexity of mineral images. This paper presents the newly studied an image segmentation algorithm for mineral particles. The algorithm consists of image pre-processing, gray level image segmentation, background split, merge of small regions, and merge and split based on shape analysis. The developed algorithm has been tested in a laboratory and works satisfactory.
Keywords :
geology; image segmentation; minerals; background split; engineering geology; gray level image segmentation; image analysis; image pre-processing; image segmentation algorithm; mineral images complexity; mineral particles shape; mineral particles size; small regions merging; Algorithm design and analysis; Geology; Image analysis; Image recognition; Image segmentation; Laboratories; Microscopy; Minerals; Shape; Testing;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
DOI :
10.1109/FSKD.2007.353
