NDLI: A conditional watershed technique for mineral particle characterization from images

Content Provider	IEEE Xplore Digital Library
Author	Sanford, R.L. Harris, J. Stanley, D.
Copyright Year	1994
Description	Author affiliation: Dept. of Miner. Eng., Alabama Univ., Tuscaloosa, AL, USA (Sanford, R.L.)
Abstract	The Tuscaloosa Research Center, Bureau of Mines, is currently studying automated and efficient measurement of the distribution of mineral particles in the feed, concentrates, and tailings during minerals beneficiation to better understand the physical and chemical factors that affect the efficiency of these operations. Conclusions derived from varying these factors as part of experimental analyses requires timely and accurate characterization of particles. The application of gray-level mathematical morphology using the watershed transformation on acquired-digital images combined with color separation allows a robust particle characterization. In images where the gray level changes slightly between touching particles, the ability to draw a one-pixel-wide line between these particles facilitates separation. Recent advances in gray-level morphology theory and practice have permitted these techniques to be workable on a microcomputer. This paper summarizes the implementation of the conditional watershed transformation using a microcomputer and the use of color classification for identification of minerals of different types.<>
Starting Page	2140
Ending Page	2147
File Size	860473
Page Count	8
File Format	PDF
ISBN	0780319931
DOI	10.1109/IAS.1994.377726
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-10-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Current measurement Chemical engineering Morphology Associate members Particle measurements Minerals Floods Feeds Pixel
Content Type	Text
Resource Type	Article

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