Title :
A Histogram Descriptor Based on Co-occurrence Matrix and its Application in Cloud Image Indexing and Retrieval
Author :
Li, Qingyong ; Lu, Weitao
Author_Institution :
Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
Abstract :
It becomes an emergent challenge how to retrieve the cloud image from a gigantic cloud image database because of the fast accumulation of digital cloud images in meteorological area. This paper puts forward the histogram descriptor based on gray level co-occurrence matrices to depict the texture characteristics of cloud images, and then applies the histogram descriptor in content-based cloud image retrieval. Our experiment results shows that the proposed histogram descriptor outperforms the state-of-the-art texture features, such as Gabor, local binary pattern and moment descriptor of gray level co-occurrence matrix.
Keywords :
content-based retrieval; image retrieval; image texture; visual databases; cloud image indexing; content-based cloud image retrieval; digital cloud images; gigantic cloud image database; gray level cooccurrence matrices; histogram descriptor; Clouds; Content based retrieval; Filter bank; Histograms; Image retrieval; Indexing; Information retrieval; Meteorology; Pixel; Statistics; co-occurrence matrix; ground-based cloud image retrieval; histogram;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-4717-6
Electronic_ISBN :
978-0-7695-3762-7
DOI :
10.1109/IIH-MSP.2009.26