Image Fusion Algorithms for Medical Images-A Comparison
Journal Title: Bonfring International Journal of Advances in Image Processing - Year 2015, Vol 5, Issue 3
Abstract
This paper presents a comparative study of medical image fusion algorithms along with its performance analysis. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) images are used to fuse which form a contemporary image so as to improve the complementary and redundant information for diagnosis purpose. For this, Discrete Wavelet Transform (DWT), Stationary Wavelet Transform (SWT), Principle Component Analysis (PCA) and curvelet transform techniques are employed and its experimental results are evaluated and compared. Comparison of fusion performance is based on its root mean square error (RMSE), peak signal to noise ratio (PSNR), Mutual Information (MI) and Entropy (H). Comparison results demonstrate the achievement of better performance of fusion by using curvelet transform.
Authors and Affiliations
M. D. Nandeesh, Dr. M. Meenakshi
ParQuoSCI: Pseudorandom Partial Quotient Sequences for Content based Image Authentication
The application of a number theory based pseudorandom sequence called Partial Quotient (PQ) sequence generated from the continued fraction expansion of irrational numbers in a semi fragile watermarking scheme for content...
Exploiting the Motion Learning Paradigm for Recognizing Human Actions
Identifying the human actions in unconfined videos is a difficult problem in several applications. The human action recognition is an active area of research. For this purpose the system proposes motion representation. I...
Ensuring Security to the Compressed Sensing Data Using a Steganographic Approach
This paper focuses on the strength of combining cryptography and steganography methods to enhance the security of communication over an open channel. Here the data to be send are secured by using the compressive sensing...
Mammogram Image Segmentation by Watershed Algorithm and Classification through k-NN Classifier
This paper presents a novel approach to detect the tumors in the mammogram images based on watershed algorithm. To increase the performance of the classifier, watershed algorithm combined with K-NN classifier is implemen...
Image Fusion Algorithms for Medical Images-A Comparison
This paper presents a comparative study of medical image fusion algorithms along with its performance analysis. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) images are used to fuse which form a contempor...