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Histogram equalization variants as optimization problems: a review
In the consumer electronics field, the main challenge in image processing is to preserve the
original brightness. Histogram Equalization (HE) is one of the simplest and widely used …
original brightness. Histogram Equalization (HE) is one of the simplest and widely used …
A survey on state-of-the-art denoising techniques for brain magnetic resonance images
The accuracy of the magnetic resonance (MR) image diagnosis depends on the quality of
the image, which degrades mainly due to noise and artifacts. The noise is introduced …
the image, which degrades mainly due to noise and artifacts. The noise is introduced …
A chimp-inspired remora optimization algorithm for multilevel thresholding image segmentation using cross entropy
Multilevel thresholding is one of the most commonly used methods in image segmentation.
However, the exhaustive search methods are costly in determining optimal thresholds and …
However, the exhaustive search methods are costly in determining optimal thresholds and …
Noise and signal estimation in magnitude MRI and Rician distributed images: a LMMSE approach
A new method for noise filtering in images that follow a Rician model-with particular attention
to magnetic resonance imaging-is proposed. To that end, we have derived a (novel) closed …
to magnetic resonance imaging-is proposed. To that end, we have derived a (novel) closed …
A survey on nature-inspired optimization algorithms and their application in image enhancement domain
In the field of image processing, there are several problems where the efficient search has to
be performed in complex search domain to find an optimal solution. Image enhancement …
be performed in complex search domain to find an optimal solution. Image enhancement …
Nature-inspired optimization algorithms and their application in multi-thresholding image segmentation
In the field of image processing, there are several problems where an efficient search of the
solutions has to be performed within a complex search domain to find an optimal solution …
solutions has to be performed within a complex search domain to find an optimal solution …
Noise-driven anisotropic diffusion filtering of MRI
A new filtering method to remove Rician noise from magnetic resonance images is
presented. This filter relies on a robust estimation of the standard deviation of the noise and …
presented. This filter relies on a robust estimation of the standard deviation of the noise and …
Three-phase induction motor fault detection based on thermal image segmentation
Induction motors are widely used in many industrial applications. Hence, it is very important
to monitor and detect any faults during their operation in order to alert the operators so that …
to monitor and detect any faults during their operation in order to alert the operators so that …
Generalized total variation-based MRI Rician denoising model with spatially adaptive regularization parameters
Magnetic resonance imaging (MRI) is an outstanding medical imaging modality but the
quality often suffers from noise pollution during image acquisition and transmission. The …
quality often suffers from noise pollution during image acquisition and transmission. The …
Salp swarm algorithm with iterative map** and local esca** for multi-level threshold image segmentation: A skin cancer dermoscopic case study
S Hao, C Huang, AA Heidari, H Chen… - Journal of …, 2023 - academic.oup.com
If found and treated early, fast-growing skin cancers can dramatically prolong patients' lives.
Dermoscopy is a convenient and reliable tool during the fore-period detection stage of skin …
Dermoscopy is a convenient and reliable tool during the fore-period detection stage of skin …