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- W2205584663 abstract "An algorithm proposed to illustrate the enhancement of edge features from 2D images. This algorithm used standard Multiresolution based wavelet de noising techniques. In this approach, we construct the undecimated schemes and evaluate their performance for image noise reduction. So that the Trous filter used to remove the noises and after that the Sobel operator applied over the same de noised images in order to detect the edges. Here, the reason for edge detection is that it shows better idea of how much noise is removed and how well the edges are preserved. Finally, the constructed image will be composite with original image which is extracted by Sobel operator without smoothing process. When we extract the edges from original image without smoothing process, we can get all high frequency information. In the next level, constructed images are enhanced by using image fusion technique. Here, the image which is smoothed by 'a trous' filter and the original image are given to the fusion technique. In this method, different piece of processed images will be combine together. So that the resultant image will have well extracted feature than the original image. Eventually. nonmaxima suppression is applied to get the thin edges. The experiment shows that the proposed algorithm can achieve better performance for the test images. This algorithm can be applicable for all 2D images. especially for medical images." @default.
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- W2205584663 date "2005-07-01" @default.
- W2205584663 modified "2023-09-24" @default.
- W2205584663 title "Multiresolution based Feature Enhancement in 2D images" @default.
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