Title :
The Application of Fuzzy Divergence to Wear Debris Recognition in Ferrography Technology
Author_Institution :
Wenzhou Vocational &Tech. Coll. Wenzhou, Wenzhou
Abstract :
This paper applies the theory of cross entropy and fuzzy divergence to wear debris recognition, based on fuzzy set. Comparing the results of the image segmentation from two different fuzzy subjection degree functions. At last, this paper put forward the technique - how to draw the characteristics of wear debris images by the variety of the image frameworks.
Keywords :
fuzzy set theory; image segmentation; wear; cross entropy; ferrography technology; fuzzy divergence; fuzzy set; fuzzy subjection degree function; image frameworks; image segmentation; wear debris images; wear debris recognition; Arithmetic; Computer applications; Displays; Educational institutions; Entropy; Fuzzy set theory; Fuzzy sets; Image recognition; Image segmentation; Probability; cross entropy; fuzzy divergence; image segmentation; wear debris;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.92