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» Toward Objective Evaluation of Image Segmentation Algorithms
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ECCV
2008
Springer
16 years 2 months ago
Shape Matching by Segmentation Averaging
We use segmentations to match images by shape. To address the unreliability of segmentations, we give a closed form approximation to an average over all segmentations. Our techniqu...
Hongzhi Wang, John Oliensis
96
Voted
CVPR
2008
IEEE
16 years 2 months ago
Superpixel lattices
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Ideally, every pixel within each superpixel region will be...
Alastair P. Moore, Simon Prince, Jonathan Warrell,...
TMI
2002
107views more  TMI 2002»
15 years 5 days ago
Volumetric Segmentation of Brain Images Using Parallel Genetic Algorithms
Active model-based segmentation has frequently been used in medical image processing with considerable success. Although the active model-based method was initially viewed as an op...
Yong Fan, Tianzi Jiang, David J. Evans
107
Voted
ICIP
2002
IEEE
16 years 2 months ago
Image segmentation using curve evolution and flow fields
An image segmentation scheme that utilizes image-based flow fields in a curve evolution framework is presented. Geometric curve evolution methods require an edge function and a ve...
Baris Sumengen, B. S. Manjunath, Charles S. Kenney
110
Voted
CVPR
2008
IEEE
16 years 2 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...