Wyniki wyszukiwania - BazTech

1

An improved feature based image fusion technique for enhancement of liver lesions

Sreeja P., Hariharan S.

Biocybernetics and Biomedical Engineering

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2018

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Vol. 38, no. 3

611--623

EN

This paper describes two methods for enhancement of edge and texture of medical images. In the first method optimal kernel size of range filter suitable for enhancement of liver and lesions is deduced. The results have been compared with conventional edge detection algorithms. In the second method the feasibility of feature based pixel wise image fusion for enhancing abdominal images is investigated. Among the different algorithms developed in the medical image fusion pixel level fusion is capable of retaining the maximum relevant information with better implementation and computational efficiency. Conventional image fusion includes multi-modal fusion and multi-resolution fusion. The present work attempts to fuse together, texture enhanced and edge enhanced images of the input image in order to obtain significant enhancement in the output image. The algorithm is tested in low contrast medical images. The result shows an improvement in contrast and sharpness of output image which will provide a basis for a better visual interpretation leading to more accurate diagnosis. Qualitative and quantitative performance evaluation is done by calculating information entropy, MSE, PSNR, SSIM and Tenengrad values.

2

Bat optimization based neuron model of stochastic resonance for the enhancement of MR images

Singh M., Verma A., Sharma N.

Biocybernetics and Biomedical Engineering

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2017

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Vol. 37, no. 1

124--134

EN

Stochastic resonance (SR) performs the enhancement of the low in contrast image with the help of noise. The present paper proposes a modified neuron model based stochastic resonance approach applied for the enhancement of T1 weighted, T2 weighted, fluid-attenuated inversion recovery (FLAIR) and diffusion-weighted imaging (DWI) sequences of magnetic resonance imaging. Multi objective bat algorithm has been applied to tune the parameters of the modified neuron model for the maximization of two competitive image performance indices contrast enhancement factor (F) and mean opinion score (MOS). The quality of processed image depends on the choice of these image performance indices rather the selection of SR parameters. The proposed approach performs well on enhancement of magnetic resonance (MR) images, as a result there is improvement in the gray-white matter differentiation and has been found helpful in the better diagnosis of MR images.

3

Morphological sharpening of color images

Skoneczny S.

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2016

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Vol. 64, nr 1

103--113

EN

This paper presents a novel approach to morphological contrast sharpening of image using the multilevel toggle operator. The concept presented here is a generalization of toggle based contrast operator for gray-level images. The multilevel toggle operator is used to enhance the contrast of multivalued images. In order to perform necessary morphological operations the modified pairwise ordering (MPO) algorithm is proposed. It gives the total order of color pixels. For comparison four other ordering methods are used. The main advantage of the proposed sharpener is its significant contrast enhancing ability when using MPO. Theoretical considerations as well as practical results are shown. Experimental results show its applicability to low-contrast color images.

4

Regularized Total Variation Image Enhancement Using E.Coli Bacteria Foraging Algorithm: Application to Neutron Radiography Projections

Saadi S., Bettayeb M., Guessoum A.

Przegląd Elektrotechniczny

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2012

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R. 88, nr 3b

192-196

EN

This paper proposes a novel approach based on swarm intelligence and foraging behavior of Escherichia coli Bacteria in the human intestine for enhancing neutron radiography projections blurred during acquisition by the high neutron flux and noise contaminated due to Gamma radiations. This approach uses the total variation (TV) optimization to solve an ill-posed problem. We consider a regularization operator for smoothing task. In comparison with other efficient methods, the proposed Algorithm can be suitable for image enhancement and noise removal.

PL

W artykule zaproponowano wykorzystaniu algorytmu rojowego bazującego na zachowaniu bakterii E.coli do poprawy jakości projekcji radiograficznej. W porównaniu z innymi algorytmami ta metoda charakteryzuje się dobrą możliwością poprawy jakości obrazu i usuwania szumu.