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  • 标题:A Scientific approach for Segmentation and clustering technique of Improved K-means and Neural Networks
  • 本地全文:下载
  • 作者:K.Srinivas ; Dr.V.Srikanth
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2012
  • 卷号:2
  • 期号:7
  • 出版社:S.S. Mishra
  • 摘要:The image segmentation is an effort to classify similar colors of image in the same group. It clusters colors into several groups based on the closeness of color intensities inside an image. In preprocessing to use Enhancement there are two segmentation techniques to apply for Image clustering & Artificial Neural Network .Algorithms based on cluster methods are normally used to obtain data, which are based on the features space, where these groups are represented by clusters. In existing local threshold and fuzzy set measure is used in that we can only classify the images. Now we apply Neural Network segmentation relies on processing small areas of an image using an artificial neural network or a set of neural networks. After such processing the decision-making mechanism marks the areas of an image accordingly to the category recognized by the neural network
  • 关键词:Image Segmentation; Enhancement; Improved K-means; ANN
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