DocumentCode :
2384440
Title :
Content-based image retrieval in botanical collections for gene expression studies
Author :
Yahiaoui, Itheri ; Boujemaa, Nozha
Author_Institution :
INRIA, France
Volume :
3
fYear :
2005
fDate :
11-14 Sept. 2005
Abstract :
Content-based image retrieval has shown to be more and more useful for several application domains, from audiovisual media to security. As content-based retrieval became mature, different scientific applications were revealed client for such methods. More recently, botanical applications generated very large image collections and then became very demanding content-based visual similarity computation. In this paper, we describe low-level feature extraction for visual appearance comparison between genetically modified plants for gene expression studies.
Keywords :
botany; content-based retrieval; feature extraction; genetics; image retrieval; botanical collections; content-based image retrieval; content-based visual similarity computation; gene expression studies; image collections; low-level feature extraction; modified plants; visual appearance; Clustering algorithms; Content based retrieval; Feature extraction; Gene expression; Genetics; Image color analysis; Image databases; Image retrieval; Image segmentation; Visual databases; Content-based image retrieval; botanical image processing; clustering; region-of-interest based visual query; segmentation; shape description;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
Type :
conf
DOI :
10.1109/ICIP.2005.1530623
Filename :
1530623
Link To Document :
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