Recognition of cotton contaminants via X-ray microtomographic image analysis

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 their research, the authors 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. They 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.

[1]  Gordon F. Williams,et al.  Evolution of the Microdust and Trash Monitor for Cotton Classification , 1986 .

[2]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[3]  Rafael C. González,et al.  Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Burkhard Wulfhorst,et al.  Image processing as a tool to improve machine performance and process control , 1996 .

[5]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[6]  Avinash C. Kak,et al.  Principles of computerized tomographic imaging , 2001, Classics in applied mathematics.

[7]  Nadipuram R. Prasad,et al.  Identification of trash types in ginned cotton using neuro fuzzy techniques , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[8]  Bugao Xu,et al.  Chromatic Image Analysis for Cotton Trash and Color Measurements , 1997 .