III WVC 2007 - Iris.sel.eesc.sc.usp.br - USP

WVC'2007 - III Workshop de Visão Computacional, 22 a 24 de Outubro de 2007, São José do Rio Preto, SP.(a) (b) (c) (d)(e) (f) (g) (h)(i) (j) (k) (l)Figura 2. (a-d )Imagens Originais, (e-h) Imagens segmentadas por Mumford-Shah, (i-l) Segmentaçãobaseada em grafos.Referências[1] M. N. M. A. K. Jain and P. J. Flynn. Data clustering: a review.ACM Computing Surveys, 31(3):264–323, 1999.[2] D. Chai and K. N. Ngan. Face segmentation using skin-colormap in videophone applications. IEEE Transactions on circuitsand systems for video technology, 9(4):551–564, 1999.[3] D. T. D. Martin, C. Fowlkes and J. Malik. A database of humansegmented natural images and its application to evaluatingsegmentation algorithms and measuring ecological statistics.In In Proc. 8th Int’l Conf. Computer Vision, volume 2,pages 416–423, 2001.[4] P. F. Felzenszwalb and D. P. Huttenlocher. Efficient graphbasedimage segmentation. International Journal of ComputerVision, 59(2):167–181, 2004.[5] X.-y. Feng. Eyes location by neural network-based face segmentation.IJCSNS - Internation Journal of Computer Scienceand Network Security, 6(5a):132–135, 2006.[6] D. A. Forsyth and J. Ponce. Computer Vision: A Modern Approach(Hardcover). Prentice Hall, 2003.[7] R. M. Haralick and L. G. Shapiro. Image segmentation techniques.Computer Vision Graphics and Image Processing,29(1):100–132, 1985.[8] G. Koepfler, C. Lopez, and J. M. Morel. A multiscale algorithmfor image segmentation by variational method. SIAMJournal on Numerical Analysis, 31(1):282–299, 1994.[9] D. Mumford and J. Shah. Boundary detection by minimizingfunctionals. In Proc. IEEE Conf. On Computer Vision andPattern Recognition, 2., pages 22–26, São Francisco, 1985.[10] D. Mumford and J. Shah. Optimal aproximations by piecewisesmooth functions and associated variational problems.Communications on Pure and Applied Mathematics,4(XLII), 1989.[11] D. T. N. J. Redding, D. J. Crisp and G. N. Newsam. An efficientalgorithm for mumford-shah segmentation and its applicationto sar imagery. Proceedings of the 1999 Conferenceon Digital Image Computing: Techniques and Applications(DICTA-99), pages 35–41, 1999.[12] N. S. K. Nene, S. A. and H. Murase. Coil-20: Columbiaobject image library. Technical report, TechinicalReport CUCS-005-96, February, 1996. Avaiable inhttp://www1.cs.columbia.edu/CAVE/databases.[13] J. Petitot. An introduction to the mumfor-shah segmentationmodel. Journal of Physiology-Paris, 97(2):335–342, 2003.[14] W. K. Pratt. Digital Image Processing: PIKS Scientific Inside.John Wiley & Sons, fourth edition, 2007.[15] W. M. W. I. T. Kapur, W. E. L. Grimson and R. Kikinis. Segmentationof brain tissue from magnetic resonance images.Medical Image Analysis, 1(2):109–127, 1996.[16] N. Xu and R. Bansal. Object segmentation using graph cutsbased active contours. Computer Vision and Image Understanding,pages 1548–1555, 2007.[17] T. W. R. Z. Y. Xia, D. Feng and Y. Zhang. Data clustering: areview. Pattern Recognition Letters, 28:1548–1555, 2007.51