A survey on evolutionary machine learning
Artificial intelligence (AI) emphasises the creation of intelligent machines/systems that
function like humans. AI has been applied to many real-world applications. Machine …
function like humans. AI has been applied to many real-world applications. Machine …
Image segmentation using multilevel thresholding: a research review
Image segmentation is a basic problem in computer vision and various image processing
applications. Over the years, commonly used image segmentation has become quite …
applications. Over the years, commonly used image segmentation has become quite …
Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur's entropy
The objective of image segmentation is to extract meaningful objects. A meaningful
segmentation selects the proper threshold values to optimize a criterion using entropy. The …
segmentation selects the proper threshold values to optimize a criterion using entropy. The …
Modified artificial bee colony based computationally efficient multilevel thresholding for satellite image segmentation using Kapur's, Otsu and Tsallis functions
In this paper, a modified artificial bee colony (MABC) algorithm based satellite image
segmentation using different objective function has been presented to find the optimal …
segmentation using different objective function has been presented to find the optimal …
Tsallis entropy based multilevel thresholding for colored satellite image segmentation using evolutionary algorithms
In this paper, a new technique for color image segmentation using CS algorithm supported
by Tsallis entropy for multilevel thresholding has been proposed toward the effective colored …
by Tsallis entropy for multilevel thresholding has been proposed toward the effective colored …
An efficient cuckoo search algorithm based multilevel thresholding for segmentation of satellite images using different objective functions
Satellite image segmentation is challenging due to the presence of weakly correlated and
ambiguous multiple regions of interest. Several bio-inspired algorithms were developed to …
ambiguous multiple regions of interest. Several bio-inspired algorithms were developed to …
A comparative study of various meta-heuristic techniques applied to the multilevel thresholding problem
The multilevel thresholding problem is often treated as a problem of optimization of an
objective function. This paper presents both adaptation and comparison of six meta-heuristic …
objective function. This paper presents both adaptation and comparison of six meta-heuristic …
[書籍][B] Particle swarm optimisation: classical and quantum perspectives
Although the particle swarm optimisation (PSO) algorithm requires relatively few parameters
and is computationally simple and easy to implement, it is not a globally convergent …
and is computationally simple and easy to implement, it is not a globally convergent …
Multilevel thresholding for image segmentation through an improved quantum-behaved particle swarm algorithm
Multilevel thresholding is one of the most popular image segmentation techniques. Some of
these are time-consuming algorithms. In this paper, by preserving the fast convergence rate …
these are time-consuming algorithms. In this paper, by preserving the fast convergence rate …
Image segmentation review: Theoretical background and recent advances
Image segmentation is a significant topic in image refining and automated image analysis
with relevance for instance object recognition, diagnostic imaging scanning, mechanized …
with relevance for instance object recognition, diagnostic imaging scanning, mechanized …