The process by which different images or information from
multiple images are combined is termed as Image fusion which is achieved by
applying a sequence of operators on the images. Recently, a number of image
fusion techniques have been developed. This chapter presents a review on the
main categories of image fusion namely spatial domain technique, transform domain
technique and statistical domain fusion technique. This chapter also reviews on
the importance of image fusion techniques in treatment planning. Image Fusion
is one of the latest fields adopted to solve the problems of digital image;
image fusion produces high-quality images which contains additional information
for the purposes of interpretation, classification, segmentation and
compression, etc. The principle requirement of the fusion process is to
identify the most significant features in the input images and to transfer them
without loss of detail into the fused image. Image Fusion finds its application
in vast range of areas. It is used for medical diagnostics and treatment. This
chapter presents a brief description of some of the extensively used image
fusion techniques for treatment planning. Comparison of all available image
fusion techniques concludes a better approach for future research on image
fusion.
Author(s) Details
Bhuvaneswari
Balachander
Department of
Electronics and Communication Engineering, Saveetha School of Engineering,
Saveetha Institute of Medical and Technical Sciences, Chennai, India.
D. Dhanasekaran
Saveetha School of Engineering, Saveetha Institute of
Medical and Technical Sciences, Chennai, India.
Please see the book here
:- https://doi.org/10.9734/bpi/etert/v5
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