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» A New Wavelet-Based Texture Descriptor for Image Retrieval
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ESWA
2008
127views more  ESWA 2008»
14 years 9 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
IJCV
2010
165views more  IJCV 2010»
14 years 8 months ago
Shape-based Invariant Texture Indexing
This paper introduces a new texture analysis scheme, which is invariant to local geometric and radiometric changes. The proposed methodology relies on the topographic map of images...
Gui-Song Xia, Julie Delon, Yann Gousseau
WWW
2008
ACM
15 years 10 months ago
Detecting image spam using visual features and near duplicate detection
Email spam is a much studied topic, but even though current email spam detecting software has been gaining a competitive edge against text based email spam, new advances in spam g...
Bhaskar Mehta, Saurabh Nangia, Manish Gupta 0002, ...

Publication
400views
14 years 4 months ago
Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting
For quantitative analysis of histopathological images, such as the lymphoma grading systems, quantification of features is usually carried out on single cells before categorizing...
Hui Kong, Metin Gurcan, and Kamel Belkacem-Boussai...
CHI
2004
ACM
15 years 10 months ago
Feeling bumps and holes without a haptic interface: the perception of pseudo-haptic textures
We present a new interaction technique to simulate textures in desktop applications without a haptic interface. The proposed technique consists in modifying the motion of the curs...
Anatole Lécuyer, Jean-Marie Burkhardt, Laur...