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  • 标题:An Empirical Approach for Medical Diagnosis Using Image Segmentation and Shape Analysis
  • 本地全文:下载
  • 作者:Umed Singh ; Narender Singh
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2014
  • 卷号:2
  • 期号:6
  • 出版社:S&S Publications
  • 摘要:An image is an array, or a matrix, of square pixels (picture elements) arranged in columns and rows. Thegoal of image segmentation is to cluster pixels into salient image regions, i.e., regions corresponding to individualsurfaces, objects, or natural parts of objects. The segmentation could be used for object recognition, occlusion boundaryestimation within motion or stereo systems, image compression, image editing, or image database look-up. Imageprocessing plays a key role in computer aided diagnosis and medical practice. . Shape analysis plays an important rolein feature extraction and analysis. In this paper a technique is proposed to detect anaemic erythrocytes using imagesegmentation and shape parameters
  • 关键词:Segmentation; Mean Shift; Thresholding; Anaemia
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