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Paper Details
Paper Title
Identification of Species Using Image Retrieval: A Review
Authors
Aaliya Yousuf, Yojna Chandel
Abstract
In the past, images were annotated manually. They were provided through keywords, texts and tags, generally known as metadata. This type of manual description is time consuming, costly and requires a lot labour for manual work. The term 'content based image retrieval' was introduced by T. Kato in 1992. By 'Content based' we means that the images are searched on the basis of the visual contents present in the image. The same can be used to retrieve the images of species from the databases for analysis and study. CBIR systems are fast, reliable cost effective and efficient for browsing. . Content based classification approach is becoming necessary to support the retrieval and indexing of images. Classification accuracy is evaluated in two, one is color spaces and other is image sizes. Here, we review some of the existing techniques for retrieval of image of different species based on their features.
Keywords- CBIR, ANN, image processing, features
Publication Details
Unique Identification Number - IJEDR1703045Page Number(s) - 322-325Pubished in - Volume 5 | Issue 3 | July 2017DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Aaliya Yousuf, Yojna Chandel, "Identification of Species Using Image Retrieval: A Review", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 3, pp.322-325, July 2017, Available at :http://www.ijedr.org/papers/IJEDR1703045.pdf
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