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Accurate brain tissue segmentation from magnetic resonance (MR) images is an essential step in quantitative brain image analysis. However, due to the existence of noise and intensity inhomogeneity in brain MR images, many segmentation algorithms suffer from limited accuracy. In this paper, it is assumed that the local image data within each voxel's(More)
This paper present a system which can efficiently detect fire after the image of the area has been captured by a camera. Fire has destructive properties which cannot be tolerated in any work areas. Fire is the rapid oxidation of a material in the exothermic chemical process of combustion, releasing heat and light. The light parameter and color of flame(More)
To increase the resolution of any image, interpolation techniques are adopted. The high frequency components in the low resolution (LR) image are lost when the images are interpolated. To overcome this problem a new satellite image resolution enhancement algorithm based on Dual Tree Complex Wavelet transform (DTCWT) and its rotated version have been(More)
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