Recognition of cotton contaminants via X-ray microtomographic image analysis

Author

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

Author_Institution

Electr. & Comput. Eng. Dept., Texas Tech Univ., Lubbock, TX, USA

Volume

40

Issue

1

fYear

2004

Firstpage

77

Lastpage

85

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.

Keywords

X-ray imaging; computer vision; computerised tomography; cotton; feature extraction; image recognition; pattern classification; tomography; X-ray microtomographic image analysis; automatic recognition; computer vision algorithms; cotton cleaning; cotton contaminant recognition; cotton market value; cotton quality; fuzzy classifier; noninvasive cotton evaluation; pattern classification; trash assessment; Cleaning; Conducting materials; Cotton; Image analysis; Image color analysis; Image recognition; Industry Applications Society; Pollution measurement; Surface contamination; X-ray imaging;

fLanguage

English

Journal_Title

Industry Applications, IEEE Transactions on

Publisher

ieee

ISSN

0093-9994

Type

jour

DOI

10.1109/TIA.2003.821647

Filename

1268182