The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing. It further discusses optimized image segmentation, its analysis, pattern recognition, and object detection.
Chapter 1
A Review Approach on Deep Learning Algorithms in Computer Vision
Chapter 2
Object Extraction from Real Time Color Images Using Edge Based Approach
Chapter 3
Deep Learning Techniques for Image Captioning
Chapter 4
Deep Learning Based Object Detection for Computer Vision Tasks: A Survey of Methods & Applications
Chapter 5
Deep Learning Algorithms for Computer Vision: A Deep Insight into Principles and Applications
Chapter 6
Handwritten Equation Solver Using Convolutional Neural Network
Chapter 7
Agriware: Crop Suggester System by Estimating the Soil Nutrient Indicators
Chapter 8
A Machine Learning Based Expeditious Covid-19 Prediction Model Through Clinical Blood Investigations
Chapter 9
Comparison of Image Based and Audio Based Techniques for Bird-Species Identification
Chapter 10
Detection of Ichthyosis Vulgaris Using SVM
Chapter 11
Chest X-Ray Diagnosis and Report Generation: Deep Learning Approach
Chapter 12
Deep Learning Based Automatic Image Caption Generation for Visually Impaired People
Chapter 13
Empirical Analysis of Machine Learning Techniques Under Class Imbalance andlĂ6
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