Recognition of Cotton Contaminants via X-Ray Microtomographic Image Analysis

Ajay Pai; Hamed Sari-Sarraf; Eric F. Hequet

doi:10.1109/TIA.2003.821647

Recognition of Cotton Contaminants via X-Ray Microtomographic Image Analysis

Ajay Pai, Hamed Sari-Sarraf, Eric F. Hequet

Research output: Contribution to journal › Article › peer-review

30 Scopus citations

Abstract

Technologies currently used for cotton contaminant assessment suffer from some fundamental limitations. These limitations result in the misassessment of the cotton quality, and have a serious impact on its economic value. Through our research, we have shown that X-ray microtomographic image analysis may be applied with a high degree of success to noninvasive evaluation of cotton for the recognition of contaminants. We believe that this procedure, when realized in real time, will have a serious impact on the cotton cleaning process, and indeed on the economic value of cotton.

Original language	English
Pages (from-to)	77-85
Number of pages	9
Journal	IEEE Transactions on Industry Applications
Volume	40
Issue number	1
DOIs	https://doi.org/10.1109/TIA.2003.821647
State	Published - Jan 2004

Keywords

Cotton trash
Fuzzy classifier
Image analysis
Pattern classification
Volumetric data
X-ray tomography.

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abstract = "Technologies currently used for cotton contaminant assessment suffer from some fundamental limitations. These limitations result in the misassessment of the cotton quality, and have a serious impact on its economic value. Through our research, we have shown that X-ray microtomographic image analysis may be applied with a high degree of success to noninvasive evaluation of cotton for the recognition of contaminants. We believe that this procedure, when realized in real time, will have a serious impact on the cotton cleaning process, and indeed on the economic value of cotton.",

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