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.
Dr. D. Dhanasekaran
Principal, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India.
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