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» A Unified Tensor Level Set for Image Segmentation
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CVPR
2009
IEEE
16 years 4 months ago
Unsupervised Learning of Hierarchical Spatial Structures In Images
The visual world demonstrates organized spatial patterns, among objects or regions in a scene, object-parts in an object, and low-level features in object-parts. These classes o...
Devi Parikh (Carnegie Mellon University), C. Lawre...
103
Voted
ISBI
2007
IEEE
15 years 4 months ago
Quantitative Representation of Three-dimensional Cell Culture Models
Three-dimensional mammary cell culture models offer new opportunities for the development of computational techniques for segmentation, localization, and multicellular organizatio...
Hang Chang, Catherine Park, Bahram Parvin
DICTA
2003
14 years 11 months ago
Extracting Boundaries from Images by Comparing Cooccurrence Matrices
Abstract. This paper describes methods of extracting region boundaries from the frames of an image sequence by combining information from spatial or temporal cooccurrence matrices ...
Astrit Rexhepi, Azriel Rosenfeld
CAIP
2003
Springer
166views Image Analysis» more  CAIP 2003»
15 years 2 months ago
Unsupervised Segmentation Incorporating Colour, Texture, and Motion
Abstract. In this paper we integrate colour, texture, and motion into a segmentation process. The segmentation consists of two steps, which both combine the given information: a pr...
Thomas Brox, Mikaël Rousson, Rachid Deriche, ...
98
Voted
ECCV
2010
Springer
15 years 2 days ago
Object Segmentation by Long Term Analysis of Point Trajectories
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...