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@article{144871, author = {V.NarsingRao and K.VIJAY BABU}, title = {RGB_CMY HISTOGRAM BASED IMAGE RETRIEVAL BY PATTERN MATCHING}, journal = {International Journal of Innovative Research in Technology}, year = {}, volume = {4}, number = {5}, pages = {207-209}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=144871}, abstract = {The Image Retrieval from the database using Text comparison and the similarity of the images found using Threshold of Keywords matching. Here large no of keywords and descriptions about the image is stored with that image and the image comparison is done using Text Query with required also the Automated Annotations are now available to detect the objects in the image and automatically do the descriptions for that image. But the Automated Descriptions need extra computations and large amount of space rather than simple keywords that describe the image. The Image Descriptions are given by the Users and Analyst who are interested in that Domain. The Image Descriptions are then converted into Text Patterns used for Faster Comparison. }, keywords = {Image Retrieval, Histogram, RGB}, month = {}, }
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