A Hybrid Fusion of Multimodal Medical Images for the Enhancement of Visual Quality in Medical Diagnosis

Sandhya, S; Kumar, M. Senthil; Karthikeyan, L.

doi:10.1007/978-3-030-04061-1_7

Cited by 5 publications

(2 citation statements)

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“…The fusion information is to combine information from multiple sources to help decision. Fusion is utilized for diagnosis and treatment in image processing field [5].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The principal component method (PCA: principal component analysis) is a statistical method that transforms a set of correlated variable data into a new group of uncorrelated data, obtained by linear combination of the originals [5]. The calculation of the main components (PC) includes the use of the covariance matrix or the correlation matrix for the calculation of eigenvalues or eigenvectors and the calculation of the main components ( Figure 2).…”

Section: B Principal Component Analysis (Pca)mentioning

confidence: 99%

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Multimodal Brain Images Fusion using Cultural Algorithm Optimized Multispectral Features

2019

IJEAT

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Medical images can be acquired through different techniques (modalities), which have their own application areas; some of them provide information on the functional activity, while others contain only anatomic information. Usually, in the first case, images have low spatial resolution while in the second case have a higher resolution. However, the analysis of medical images often requires the evaluation of more than one modality; in order provide the specialist with more information for decision making as well as for the analysis and the treatment of diseases. Image fusion aims to combine information from the same sensor or different sensors, so that the image fused retain the information content of each individual image. In remote perception, when multispectral images are analyzed, it is very important to preserve the content of spectral information of each of the bands. The challenge is to obtain good quality images that allow us to extract as much amount of information possible, for which it is sometimes necessary to enhance or modify the image to improve its appearance or combine images or portions thereof to combine the information. An ideal fusion of multispectral images and the band panchromatic will result in a new series of bands with greater spatial resolution and equal spectral content. This paper proposes a PCA, DWT and cultural optimized entropy based DWT fusion with the evaluation parameters; arithmetic mean (SM), Maximum value ( ) and Minimum value ( ).

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“…The fusion information is to combine information from multiple sources to help decision. Fusion is utilized for diagnosis and treatment in image processing field [5].…”

Section: Literature Reviewmentioning

confidence: 99%

Section: B Principal Component Analysis (Pca)mentioning

confidence: 99%