Analysis and evaluation of hard and fuzzy clustering segmentation techniques in burned patient images

Image and Vision Computing - Tập 18 - Trang 1045-1054 - 2000
A Alonso Betanzos1, B Arcay Varela1, A Castro Martı́nez1,2
1LIDIA, Department of Computer Science, University of Coruña, A Coruña, Spain
2University Institute of Health Sciences, University of Coruña, A Coruña, Spain

Tài liệu tham khảo

D. MacG Jackson. The diagnosis of the depth of burning, Br. J. Surg, 1970.

T.WatchelCritical care clinicsSymposium on Burnsvol. 1W.B. SaundersPhiladelphia, PA 1985, No 1, pp 50–56

Schwan, 1991, Organizational development of biomedical engineering, IEEE Engng Medicine Biol. Mag., 10, 3, 10.1109/51.84182

Bronzino, 1995

Gonzalez, 1992

Bezdek, 1986, Segmentation of a thematic mapper image using the Fuzzy C-Means clustering algorithm, IEEE Trans. Geograph. Sci. Remote Sensing, 24, 400, 10.1109/TGRS.1986.289598

Zadeh, 1965, Fuzzy sets, Inform. Contr., 8, 338, 10.1016/S0019-9958(65)90241-X

Boyle, 1994

Jain, 1991

J.A.GivensJrM.R.GrayJ.M.KellerA fuzzy K-Nearest Neighbour algorithmIEEE Trans. Syst., Man, Cybern.July/August1985, vol SMC-15, no.4, pp. 580–585

S.U. Lee, Y.M. Lim, On the color image segmentation algorithm based on the thresholding and the Fuzzy c-Means techniques, Pattern Recogn., vol 23, no 9, 1990.

A.P. Witkin, Scale space filtering: a new approach to multi-scale description, Proc. 8th Int. Joint Conf. Artificial Intelligence, August, 1993, p. 1019–1022.

Feiner, 1992

Bezdek, 1992

Thông tin
Thông tin xuất bản

Image and Vision Computing

Tập 18

1045-1054

Thông tin tác giả