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 …
Classification of Alzheimer's disease based on eight-layer convolutional neural network with leaky rectified linear unit and max pooling
SH Wang, P Phillips, Y Sui, B Liu, M Yang… - Journal of medical …, 2018 - Springer
Alzheimer's disease (AD) is a progressive brain disease. The goal of this study is to provide
a new computer-vision based technique to detect it in an efficient way. The brain-imaging …
a new computer-vision based technique to detect it in an efficient way. The brain-imaging …
Randomly attracted rough firefly algorithm for histogram based fuzzy image clustering
Image segmentation process is one of the most interesting and challenging problems in
digital image processing tasks. The segmentation process involves finding similar regions …
digital image processing tasks. The segmentation process involves finding similar regions …
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 …
An overview on nature-inspired optimization algorithms and their possible application in image processing domain
Nature-inspired optimization algorithms are simple and effective tools for solving highly non-
linear and multi-modal real-world problems. Nowadays this kind of methods is very attractive …
linear and multi-modal real-world problems. Nowadays this kind of methods is very attractive …
Multiple sclerosis identification based on fractional Fourier entropy and a modified Jaya algorithm
Aim: Currently, identifying multiple sclerosis (MS) by human experts may come across the
problem of “normal-appearing white matter”, which causes a low sensitivity. Methods: In this …
problem of “normal-appearing white matter”, which causes a low sensitivity. Methods: In this …
Cuckoo search with differential evolution mutation and Masi entropy for multi-level image segmentation
Since the beginning of the twenty-first century, the Cuckoo Search (CS) algorithm has
emerged as one of the robust, flexible, fast, and easily implementable techniques for the …
emerged as one of the robust, flexible, fast, and easily implementable techniques for the …
A clustering based classification approach based on modified cuckoo search algorithm
Abstract Cuckoo Search Algorithm (CSA) is one of the new swarm intelligence based
optimization algorithms, which has shown an effective performance on many optimization …
optimization algorithms, which has shown an effective performance on many optimization …
Toward the modification of flower pollination algorithm in clustering-based image segmentation
Flower pollination algorithm (FPA) is a new bio-inspired optimization algorithm, which has
shown an effective performance on solving many optimization problems. However, the …
shown an effective performance on solving many optimization problems. However, the …
Hue-preserving and gamut problem-free histopathology image enhancement
In the realm of the pathological test, pathologists diagnose diseases viewing specimen on
pathological slides based on the size, shape, texture, colour, and darkness of cells. There is …
pathological slides based on the size, shape, texture, colour, and darkness of cells. There is …