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Web Based Medical Image Retrieval System Using Fuzzy Connectedness Image Segmentation and Geometric Moments

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Research Topic ID:IPRT21012015
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Web Based Medical Image Retrieval System Using Fuzzy Connectedness Image Segmentation and Geometric Moments.

Abstract : Medical image database is growing day by day. There are various categories of medical images such as CT scan, X- Ray, Ultrasound, Pathology, MRI, Microscopy, etc [1]. Physicians compare previous and current medical images associated with patients to provide right treatment. Medical Imaging is playing a leading role in modern diagnosis. Efficient image retrieval tools are needed to retrieve the intended images from large growing medical image databases. Such tools must provide more precise retrieval results with less computational complexity. This paper proposed fuzzy connectedness image segmentation for medical image retrieval in Oracle using digital imaging and communications in medicine (DICOM) format. Paper includes the comparison of image retrieval techniques with the proposed fuzzy connectedness image segmentation combined with geometric moment. Paper also gives the implementation details of proposed algorithm in Oracle. For the analysis purpose we have implemented feature extraction methods for color, texture and shape based feature extraction. These methods are compared with the proposed algorithm.

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IEEE,10-13 March 2014.
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For the implementation of this paper one or more software from the following list will be use

  • MATLAB
  • Image Processing Toolbox
  • Computer Vision Toolbox
  • Neural Network Toolbox
  • Optimization Toolbox

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