Improved Bat Algorithm Applied to Multilevel Image Thresholding

Alihodžić, Adis; Tuba, Milan

doi:10.1155/2014/176718

Cited by 126 publications

(40 citation statements)

References 56 publications

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“…Image background was set to be black using the appropriate threshold, so the frame was the same color as the background. Empirically determined threshold was adequate in this case but more elaborate techniques are available [11], [1]. For images without borders (Fig.…”

Section: The Proposed Firework Algorithm Adjusted For Image Registramentioning

confidence: 97%

Adjusted Fireworks Algorithm Applied to Retinal Image Registration

Tuba¹,

Tuba²,

Dolicanin³

2017

SIC

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Abstract:Image registration is an important problem in image processing, especially in medical imaging. It is a hard optimization problem with objective function that is not appropriate for deterministic mathematical optimization. In this paper we propose a bi-resolution algorithm for rigid image registration based on recent fireworks algorithm. We tested our approach on retinal images from standard benchmark datasets and compared the results with other approaches from literature. Our proposed algorithm succeeded in registering images in all cases, and was more accurate than other compared methods.

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Section: The Proposed Firework Algorithm Adjusted For Image Registramentioning

confidence: 97%

Adjusted Fireworks Algorithm Applied to Retinal Image Registration

Tuba¹,

Tuba²,

Dolicanin³

2017

SIC

Self Cite

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“…In the field of image processing, [31] have employed BA for image matching. [32,33] have tried to employ BA for image thresholding based on Kapur's entropy and realized fair good segmentation results. Further, there are some variants and modifications of BA, such as [34] proposed a binary BA and used it for optical buffer design.…”

Section: Q3mentioning

confidence: 99%

Fuzzy entropy based optimal thresholding using bat algorithm

Wang

Liu

et al. 2015

Applied Soft Computing

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“…Bat algorith m is a recent metaheuristic approach developed by [3] based on the echolocation behavior of bat [4]. Echolocation involves emission of a very loud sound pulse and listens to the echo that returns from the objects [5].…”

Section: Introductionmentioning

confidence: 99%

Medical Image Segmentation through Bat-Active Contour Algorithm

Isah¹,

Usman²,

Tekanyi³

2017

IJISA

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Abstract-In this research work, an improved active contour method called Bat-Active Contour Method (BA-ACM) using bat algorithm has been developed. The bat algorith m is incorporated in order to escape local min ima entrapped into by the classical active contour method, stabilize contour (snake) movement and accurately, reach boundary concavity. Then, the developed Bat-Active Contour Method was applied to a dataset of med ical images of the human heart, bone of knee and vertebra which were obtained from Auckland MRI Research Group (Card iac Atlas Website), University of Auckland. Set of similarity metrics, including Jaccard index and Dice similarity measures were adopted to evaluate the performance of the developed algorithm. Jaccard index values of 0.9310, 0.9234 and 0.8947 and Dice similarity values of 0.8341, 0.8616 and 0.9138 were obtained fro m the human heart, vertebra and bone of knee images respectively. The results obtained show high similarity measures between BA-A CM algorithm and expert segmented images. Moreso, traditional ACM produced Jaccard index values 0.5873, 0.5601, 0.6009 and Dice similarity values of 0.5974, 0.6079, 0.6102 in the hu man heart, vertebra and bone of knee images respectively. The results obtained for traditional ACM show low similarity measures between it and expertly segmented images. It is evident from the results obtained that the developed algorith m performed better co mpared to the traditional ACM.

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Improved Bat Algorithm Applied to Multilevel Image Thresholding

Cited by 126 publications

References 56 publications

Adjusted Fireworks Algorithm Applied to Retinal Image Registration

Adjusted Fireworks Algorithm Applied to Retinal Image Registration

Fuzzy entropy based optimal thresholding using bat algorithm

Medical Image Segmentation through Bat-Active Contour Algorithm

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