Brain Image Fusion using DWT and Laplacian Pyramid Approach and Tumor Detection using Watershed Segmentation

( Vol-2,Issue-5,May 2016 )

Author(s): Susan Mary Olakkengil, Mrs. Prathima. M.N

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Page No: 411-414
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Keywords:

Image Fusion, Laplacian Pyramid Algorithm, Discreet Wavelet Transform.

Abstract:

Image fusion is the process of combining important information from two or more images into a single image. The resulting image will be more enhanced than any of the input pictures. The idea of combining multiple image modalities to furnish a single, more enhanced image is well established, special fusion methods have been proposed in literature. This paper is based on image fusion using laplacian pyramid and Discreet Wavelet Transform (DWT) methods. This system uses an easy and effective algorithm for multi-focus image fusion which uses fusion rules to create fused image. Subsequently, the fused image is obtained by applying inverse discreet wavelet transform. After fused image is obtained, watershed segmentation algorithm is applied to detect the tumor part in fused image.

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