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Survey Paper | Electronics & Communication Engineering | India | Volume 4 Issue 12, December 2015
Survey paper on Sketch Based and Content Based Image Retrieval
Prachi A. Gaidhani, Prof. Bagal S. B.
Abstract: This survey paper presents an overview of development of Sketch Based Image Retrieval (SBIR) and Content based image retrieval (CBIR) in the past few years. There is awful growth in bulk of images as well as the far-flung application in too many fields. The main attributes to represent as well index the images are color, shape, texture, spatial layout. These features of images are extracted to check similarity among the images. Generation of special query is the main problem of content based image retrieval. Features are extracted from the images and the similarity between them is check by using different algorithms. Sketch based image retrieval is effective and chief method which are not necessarily having a high skill to draw the query sketch. Over last twenty years different algorithms and models are explored for the retrieval of images. In concluding section we present the limitations of the current image retrieval algorithms.
Keywords: Sketch based image retrieval, Content based image retrieval, Feature extraction, Gradient field histogram of oriented graph, image descriptor
Edition: Volume 4 Issue 12, December 2015,
Pages: 2201 - 2206
How to Cite this Article?
Prachi A. Gaidhani, Prof. Bagal S. B., "Survey paper on Sketch Based and Content Based Image Retrieval", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=NOV152548, Volume 4 Issue 12, December 2015, 2201 - 2206
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