Abstract
This paper proposes an efficient region based image fusion scheme using discrete wavelet transform. This paper also proposes two new fusion rules namely mean, max and standard deviation (MMS) and region consistency rule. The proposed algorithm identifies the given images are multisensor or multifocus automatically. It allows best suitable algorithm for segmenting the input source images. Proposed method is applied on large number of registered images of various categories of multifocus and multimodality images and results are compared using standard reference based and nonreference based image fusion parameters. It is evident from simulation results of our proposed algorithm that it preserves more information compared to earlier reported pixel based and region based methods.
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© 2009 Springer-Verlag Berlin Heidelberg
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Zaveri, T., Zaveri, M. (2009). A Novel Multimodality Image Fusion Method Using Region Consistency Rule. In: Chaudhury, S., Mitra, S., Murthy, C.A., Sastry, P.S., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2009. Lecture Notes in Computer Science, vol 5909. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11164-8_52
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DOI: https://doi.org/10.1007/978-3-642-11164-8_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11163-1
Online ISBN: 978-3-642-11164-8
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