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3D volume segmentation aims at partitioning the voxels into 3D objects (sub-volumes) which represent meaningful physical entities. Multi-resolution analysis (MRA) allows for the preservation of an image according to certain levels of resolution or blurring. The quality of this approach makes it useful in image compression, de-noising, and classification or segmentation. This paper focuses on the implementation...
Problems of multi-dimensional signal enhancement, segmentation, feature extraction and components classification is essential in many engineering and biomedical applications. The paper is devoted to the use of watershed transform and wavelet transform for MR image components detection and discussion of over-segmentation problems. The goal of the paper is in (i) analysis of image de-noising, (ii) discussion...
Image interpolation is a well-studied signal processing application that continues to receive substantial attention from the research community. It has been recognized that taking into account the presence of edges in an image can significantly improve the resulting interpolated image. Many techniques modify the interpolation method in the presence of edges to avoid common artifacts such as blurring,...
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