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» A Segmentation Algorithm for Contrast-Enhanced Images
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ISBI
2007
IEEE
14 years 3 months ago
Noise and Artifact Removal in Knife-Edge Scanning Microscopy
Knife-Edge Scanning Microscopy (KESM) is a recently developed technique that allows fast and automated imaging of several hundred cubic millimeters of tissue at sub-micron resolut...
David Mayerich, Bruce H. McCormick, John Keyser
CVPR
2004
IEEE
14 years 11 months ago
Shedding Light on Stereoscopic Segmentation
We propose a variational algorithm to jointly estimate the shape, albedo, and light configuration of a Lambertian scene from a collection of images taken from different vantage po...
Hailin Jin, Daniel Cremers, Anthony J. Yezzi, Stef...
MM
2006
ACM
221views Multimedia» more  MM 2006»
14 years 3 months ago
Video object segmentation by motion-based sequential feature clustering
Segmentation of video foreground objects from background has many important applications, such as human computer interaction, video compression, multimedia content editing and man...
Mei Han, Wei Xu, Yihong Gong
IJCNN
2007
IEEE
14 years 3 months ago
Using Artificial Neural Networks and Feature Saliency Techniques for Improved Iris Segmentation
—One of the basic challenges to robust iris recognition is iris segmentation. This paper proposes the use of a feature saliency algorithm and an artificial neural network to perf...
Randy P. Broussard, Lauren R. Kennell, David L. So...
PAMI
2010
190views more  PAMI 2010»
13 years 7 months ago
OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues
—We present a probabilistic method for segmenting instances of a particular object category within an image. Our approach overcomes the deficiencies of previous segmentation tech...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...