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» Texture Feature Extraction and Classification
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ICIAP
2001
Springer
15 years 4 months ago
Neural Network Analysis of MINERVA Scene Analysis Benchmark
Scene analysis is an important area of research with the aim of identifying objects and their relationships in natural scenes. MINERVA benchmark has been recently introduced in th...
Markos Markou, Sameer Singh, Mona Sharma
GRAPHICSINTERFACE
2000
15 years 1 months ago
Analysis and Synthesis of Structural Textures
With the advent of image based modeling techniques, it becomes easier to apply textures extracted from reality onto virtual worlds. Many repetitive patterns (structural textures) ...
Laurent Lefebvre, Pierre Poulin
ICPR
2000
IEEE
15 years 3 months ago
Color Texture Classification by Normalized Color Space Representation
This paper proposes a novel approach to color texture characterization and classification. Rather than developing new textural features, we propose to derive a family of new, redu...
Constantin Vertan, Nozha Boujemaa
MMSP
2008
IEEE
349views Multimedia» more  MMSP 2008»
15 years 6 months ago
Content based image retrieval using curvelet transform
Abstract—Feature extraction is a key issue in contentbased image retrieval (CBIR). In the past, a number of texture features have been proposed in literature, including statistic...
Ishrat Jahan Sumana, Md. Monirul Islam, Dengsheng ...
ICDAR
2003
IEEE
15 years 5 months ago
Document page similarity based on layout visual saliency: Application to query by example and document classification
In this paper we propose to define a measure of visual similarity to compare different pages in a corpus. This measure is based on the analysis of the visual layout saliency of th...
Véronique Eglin, Stéphane Bres