Methods of Image Retrieval Based Cloud
Shaimaa H. Shaker1, Nuha M. Khassaf2

1Nuha M. Khassaf*, Computer Sciences, Iraqi Commission for Computer & Informatics Institute for Postgraduate Studies, Baghdad, Iraq.
2Asst. Prof. Dr. Shaimaa H. Shaker , University of Technology,Baghdad, Iraq.
Manuscript received on December 19, 2019. | Revised Manuscript received on December 30, 2019. | Manuscript published on January 10, 2020. | PP: 637-644 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8139019320/2020©BEIESP | DOI: 10.35940/ijitee.C8139.019320
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Abstract: Content Based Image Retrieval (CBIR) introduces for the time being the most used system allowing detecting the visual features of images by using processing techniques due to the challenges of recovering photos depending on the text.The essential mechanism of content based image retrieval system is analysis picture information with low-level feature of an image, including colour, texture, determining edges, that has stages which includes the stage of classification of images, then the stage of extracting features and the stage of finding similar images and finally, evaluating the system and according to the technique or techniques used in each stage from stages of content based image retrieval system to increase the accuracy and speed of recovery for images ,together can using advantages cloud computing, which can provide a number of integrated computer services without being restricted to local resources, which include storage space, processing capabilities, expansion, flexibility and other various services through the Internet and deal with cloud through the platform as a user interface such as Microsoft Azure , Google Cloud platform, Amazon Web Services and others. In this paper, an analytical study of many CBIR techniques in terms of their behavior, feature extraction and work on Cloud Computing. All these techniques have their own avails as well as certain limitations, that means, there is not a one technique that suits superior all sorts of user’s needs,but using of advantages of cloud increase the improvement of performance. The focus be on the technique (features of Principle Component Analysis (PCA)) with advantages of Cloud Computing as a helpful way to extraction the features as shown in the results derived from the comparison. 
Keywords: Cloud Computing, Content-based Image Retrieval , feature extraction, PCA technique.
Scope of the Article: Cloud Computing