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M}ulti-resolution Image Fusion using Marker Controlled Watershed Transform and {DWT

Rabindra Bhojray; Subhendu Kumar Behera
Image Fusion is a process of extracting the relevant information from a set of multi-resolution images, and then combining it intelligently to form a single composite image with extended information content. Image fusion combines registered images perfectly to produce an enhanced image with spatial and spectral information for image analysis and computer vision. In this paper, we proposed a region based multi resolution image fusion using marker controlled watershed algorithm and DWT. In our proposed technique, the algorithm is divided into five parts-Image wavelet decomposition, watershed segmentation, merging of segments, weighting of coefficients, decision of selecting coefficients and inverse discrete wavelet transform. Our proposed technique is efficient and having clear perspective of real time implementation and is more robust to image noise and blurring.
Select Volume / Issues:
Year:
2012
Type of Publication:
Article
Keywords:
Image fusion; Image segmentation; Discrete wavelet transform and Watershed transform
Journal:
IJECCE
Volume:
3
Number:
5
Pages:
1248-1251
Month:
Sept.
Hits: 2817

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