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  • 标题:ADAPTIVE RESONANCE THEORY (ART1) APPROACH IN CBIR SYSTEM
  • 本地全文:下载
  • 作者:Dr. Reddi Kiran kumar ; P. Sankara Rao ; E.Vamsidhar
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2010
  • 卷号:2
  • 期号:6
  • 页码:2176-2180
  • 出版社:Engg Journals Publications
  • 摘要:In these days an image retrieval system has become a challenging task. Many systems based on the text based retrieval but the need of image based retrieval system that takes an image as the input query and retrieves images based on image content is more complicated task. Content Based Image Retrieval is an approach for retrieving semanticallyrelevant images from an image database based on automatically-derived image features. The aim and Objective of the Paper is classifying the soils using Adaptive resonance theory, a Neural Network concepts for more efficient and effective results. Forthcoming problems or disasters are easily studied and predicted with help of ART .So that priory we can rescue the human kind and mother earth.
  • 关键词:CBIR; ART1; Clustering
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