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114
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ARTMED
2004
145views more  ARTMED 2004»
15 years 19 days ago
A novel kernelized fuzzy C-means algorithm with application in medical image segmentation
: Image segmentation plays a crucial role in many medical imaging applications. In this paper, we present a novel algorithm for fuzzy segmentation of magnetic resonance imaging (MR...
Dao-Qiang Zhang, Song-Can Chen
PAMI
2002
108views more  PAMI 2002»
15 years 12 days ago
Approximate Bayes Factors for Image Segmentation: The Pseudolikelihood Information Criterion (PLIC)
We propose a method for choosing the number of colors or true gray levels in an image; this allows fully automatic segmentation of images. Our underlying probability model is a hid...
Derek C. Stanford, Adrian E. Raftery
121
Voted
ICDAR
2011
IEEE
14 years 11 days ago
Math Spotting: Retrieving Math in Technical Documents Using Handwritten Query Images
—A method for locating mathematical expressions in document images without the use of optical character recognition is presented. An index of document regions is produced from re...
Richard Zanibbi, Li Yu
98
Voted
CVPR
1999
IEEE
16 years 2 months ago
Image Interpolation by Joint View Triangulation
Creating novel views by interpolating prestored images or view morphing has many applications in visual simulation. We present in this paper a new method of automatically interpol...
Maxime Lhuillier, Long Quan
101
Voted
CVPR
2005
IEEE
16 years 2 months ago
Learning Feature Distance Measures for Image Correspondences
Standard but ad hoc measures such as sum-of-squared pixel differences (SSD) are often used when comparing and registering two images that have not been previously observed before....
Xi Chen, Tat-Jen Cham