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  • 标题:A HYBRID MATHEMATICAL APPROACH TO PERFORM IMAGE SEGMENTATION
  • 本地全文:下载
  • 作者:Savita ; Dr. Paramjit Singh
  • 期刊名称:International Journal of Computer Science and Management Studies
  • 电子版ISSN:2231-5268
  • 出版年度:2013
  • 卷号:13
  • 期号:4
  • 出版社:Imperial Foundation
  • 摘要:One of the primary applications of image processing is the image segmentation. The segmentation is itself an intermediate process as well as application that help other applications as its preprocessing part. The segmentation is used by many approaches to improve the effectiveness of work. Most of recognition algorithm, impainting algorithms uses the concept of segmentation. To achieve the effective results from these algorithms, an effective segmentation is required. In this present work a hybrid approach is presented to perform the image segmentation. The work is about to use the basic mathematical approaches to obtain more accurate results. The approaches covered in this work are morphological operators, watershed algorithm and the adaptive thresholding approach. In this paper, the basic segmentation approaches are defined as well as a new hybrid is presented to perform the effective segmentation.
  • 关键词:Segmentation; Watershed; Morphological.
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