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» Extracting the Essence from Sets of Images
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IADT
1998
148views more  IADT 1998»
15 years 1 months ago
A Tool for Content-Based Image Retrieval in Object-Oriented Databases
Conventional image processing algorithms used to compare images are very timeconsuming, making them inappropriate for use in searching for an image in a huge collection of images ...
Caetano Traina Jr., Agma J. M. Traina, Rildo R. do...
TITB
2008
109views more  TITB 2008»
14 years 11 months ago
Automatic Segmentation of High-Throughput RNAi Fluorescent Cellular Images
High throughput genome-wide RNAi screening is emerging as an essential tool to assist biologists in understanding complex cellular processes. The large number of images produced in...
Pingkun Yan, Xiaobo Zhou, Mubarak Shah, Stephen T....
IVC
2008
69views more  IVC 2008»
14 years 11 months ago
Unsupervised texture classification: Automatically discover and classify texture patterns
In this paper, we present a novel approach to classify texture collections. This approach does not require experts to provide annotated training set. Given the image collection, w...
Lei Qin, Qingfang Zheng, Shuqiang Jiang, Qingming ...
SMI
2008
IEEE
146views Image Analysis» more  SMI 2008»
15 years 6 months ago
SHREC'08 entry: Local volumetric features for 3D model retrieval
In this paper, we describe a method of shape-based 3D model retrieval that employs a set of 3D, local, multi-scale features extracted from a voxel representation of a 3D model to ...
Kunio Osada, Takahiko Furuya, Ryutarou Ohbuchi
VISSYM
2007
15 years 2 months ago
Flexible And Topologically Localized Segmentation
One of the most common visualization tasks is the extraction of significant boundaries, often performed with isosurfaces or level set segmentation. Isosurface extraction is simple...
Gunnar Johansson, Ken Museth, Hamish Carr