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In this paper, we propose a new methodology for the segmentation and retrieval system for Computed Tomography (CT) brain images. For the segmentation part, two segmentation techniques are considered which are modified FCM with population-diameter independent (PDI) and expectation-maximization (EM) segmentation. However, only one of the techniques is selected based on the average intensity in order...
An efficient image retrieval system for use in medical applications is proposed. The system addresses both global and local features and is able to perform similarity retrieval on the whole image as well as on local regions within the image. The retrieval algorithm is based on a simple grey level histogram (GLH) algorithm to capture the intensity distribution, and a novel block-based retrieval technique...
The following topics are dealt with: source/channel coding; distributed image and video coding; biomedical image segmentation; steganography and steganalysis; content summarization and clustering; fingerprint and iris analysis; image registration/alignment and mosaicking; stereoscopic and 3-D coding; visual tacking; deblurring and image restoration; face/facial expression detection and recognition;...
Efficient content-based image retrieval of biomedical images is a challenging problem of growing research interest. This paper describes how X-ray images of the spinal columns are analysed in order to extract each vertebra region. We aim at developing a computer vision tool able to determine a global polygonal region for each vertebra. This is an essential first pre-processing and image segmentation...
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