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博文

目前显示的是标签为“Image Segmentation”的博文

Medical Image Segmentation Based on Wavelet Analysis and Gradient Vector Flow

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=51616#.VHKFJ2fHRK0 Author(s) Ji Zhao , Lina Zhang , Minmin Yin Affiliation(s) Department of Software Engineering, University of Science and Technology, Anshan, China . ABSTRACT Medical image segmentation is one of the key technologies in computer aided diagnosis. Due to the complexity and diversity of medical images, the wavelet multi-scale analysis is introduced into GVF (gradient vector flow) snake model. The modulus values of each scale and phase angle values are calculated using wavelet transform, and the local maximum points of modulus values, which are the contours of the object edges, are obtained along phase angle direction a...

Soft Image Segmentation Based on the Mixture of Gaussians and the Phase-Transition Theory

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=51052#.VFL-WGfHRK0 Author(s) Celia A. Z. Barcelos 1 , Yunmei Chen 2 , Fuhua Chen 3 Affiliation(s) 1 Faculty of Mathematics, Federal University of Uberlandia, Uberlandia, MG, Brazil . 2 Department of Mathematics, University of Florida, Gainesville, FL, USA . 3 Department of Natural Science & Mathematics, West Liberty University, West Liberty, WV, USA . ABSTRACT In this paper, we propose a new soft multi-phase segmentation model where it is assumed that the pixel intensities are distributed as a Gaussian mixture. The model is formulated as a minimization problem through the use of the maximum likelihood estimator and phase-tran...