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Article
A novel context-sensitive attitude entropy-based multiclass segmentation method for brain MR images using enhanced flow directional algorithm
Computer vision techniques, aided by artificial intelligence, in medical image analysis, are currently encouraged for precise and speedy diagnosis of brain disorders. The brain MR image shows an intensity vari...
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Article
Exponential entropy-based multilevel thresholding using enhanced barnacle mating optimization
Multilevel Thresholding (MLT) is a prominent image segmentation research field that can effectively handle problems encountered while collecting meaningful information from a digital image. Most of the existin...
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Chapter and Conference Paper
Brain Tumour Detection by Multilevel Thresholding Using Opposition Equilibrium Optimizer
The detection of the exact location of a tumour in a complex brain structure is one of the emerging fields of a medical image segmentation study. The ability to segment tumours from magnetic resonance imaging ...
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Chapter and Conference Paper
Adaptive Grey wolf Optimization Algorithm with Gaussian Mutation
Grey wolf optimizer is a well-known optimization algorithm and is still being investigated by the researcher to improve its performance for applying in complex optimization problems. This paper introduced an a...
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Article
A leader Harris hawks optimization for 2-D Masi entropy-based multilevel image thresholding
The multilevel image thresholding is one of the important steps in multimedia tools to understand and interpret the object in the real world. Nevertheless, 1-D Masi entropy is quite new in the thresholding app...
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Article
Adaptive opposition slime mould algorithm
Recently, the slime mould algorithm (SMA) has become popular in function optimization, because it effectively uses exploration and exploitation to reach an optimal solution or near-optimal solution. However, t...
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Chapter and Conference Paper
Multilevel Thresholding Using Black Widow Optimization
The key objective of any multilevel thresholding method is to obtain the optimal thresholds on a target image for the region of interest. Traditional methods of multilevel thresholding suffer from poor accurac...
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Chapter and Conference Paper
A Differential Squirrel Search Algorithm
This paper presents a new hybrid differential squirrel search algorithm optimization algorithm (DSSE) by combining the searching methods of a squirrel search algorithm and differential evolution optimization p...
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Chapter and Conference Paper
Classical 2D Face Recognition: A Survey on Methods, Face Databases, and Performance Evaluation
The visual system is the ultimate model for computer vision systems. Face recognition is one of the essential biometric-based methods of computer vision from the perspective of safety and security. The researc...
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Chapter
A Hybrid CS–GSA Algorithm for Optimization
The chapter presents a hybridized population-based Cuckoo search–Gravitational search algorithm (CS–GSA) for optimization. The central idea of this chapter is to increase the exploration capability of the Grav...
