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» Texture Feature Extraction and Classification
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SIGIR
2003
ACM
15 years 5 months ago
Image classification using hybrid neural networks
Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on t...
Chih-Fong Tsai, Kenneth McGarry, John Tait
PREMI
2007
Springer
15 years 5 months ago
Segmenting Multiple Textured Objects Using Geodesic Active Contour and DWT
We address the issue of segmenting multiple textured objects in presence of a background texture. The proposed technique is based on Geodesic Active Contour (GAC) and can segment m...
Surya Prakash, Sukhendu Das
ACCV
2010
Springer
14 years 6 months ago
A Unified Approach to Segmentation and Categorization of Dynamic Textures
Dynamic textures (DT) are videos of non-rigid dynamical objects, such as fire and waves, which constantly change their shape and appearance over time. Most of the prior work on DT ...
Avinash Ravichandran, Paolo Favaro, René Vi...
CBMS
2008
IEEE
15 years 6 months ago
Thyroid Texture Representation via Noise Resistant Image Features
The robustness of textural features on speckle noise is of vital importance for ultrasound imaging. A set of novel fuzzy features for thyroid ultrasound texture representation, de...
Eystratios G. Keramidas, Dimitrios K. Iakovidis, D...
CVPR
2003
IEEE
16 years 1 months ago
Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space
In this paper, we propose a novel and efficient approach for active unsurpervised texture segmentation. First, we show how we can extract a small set of good features for texture ...
Mikaël Rousson, Rachid Deriche, Thomas Brox