CBIR Based on Color and Texture Features using DCT and DWT | |
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( Volume 2 Issue 4,April 2016 ) OPEN ACCESS | |
Author(s): | |
Jayant Mankar, Anjulata Sahu, Kanchan Harode, Megha Pawase, Nisha Titarmare, Rima Karadbhajne, Soumya Katti | |
Abstract: | |
Every day an enormous amount of data is retrieved and transmitted on the Internet. Internet gives rise to have the relevant information more quickly. Most of the users or researchers required the image data from the available image database. For the retrieval of concern image data from the huge database is tedious task in terms of the storage and retrieval time. So the image data storage and retrieval time are the perplexities of any database systems. To overcome these perplexities, the image retrieval systems are exist and proposed in the literature. The majority of image retrieval systems focus mainly on color distribution. The most popular and well-developed techniques are based on color or brightness histograms. Many problem domains used the concept of content based image retrieval. Attribute based approaches are used to retrieve the images from image database. But feature based approaches are generally used in Content-based image retrieval systems. The important common features of the image: color, texture, shape, boundary, intensity levels, frequency domain feature, spatial domain feature are used as the basis to form the feature database in content based image retrieval. |
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