Search results for ""Author Amit Kant Pandit""

Book SynopsisThe 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.Features: Discusses machine learning-based analytics such as GAN networks, autoencoders, computational imaging, and quantum computing Covers deep learning algorithms in computer vision Showcases novel solutions such as multi-resolution analysis in imaging processing, and metaheuristic algorithms for tackling challenges associated with image processing Highlight optimization problems such as image segmentation and minimized feature design vector Presents platform and simulation tools for image processing and segmentation The book aims to get the readers familiar with the fundamentals ofTable of ContentsChapter 1 A Review Approach on Deep Learning Algorithms in Computer VisionChapter 2 Object Extraction from Real Time Color Images Using Edge Based ApproachChapter 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 6Handwritten Equation Solver Using Convolutional Neural Network Chapter 7Agriware: Crop Suggester System by Estimating the Soil Nutrient Indicators Chapter 8A Machine Learning Based Expeditious Covid-19 Prediction Model Through Clinical Blood Investigations Chapter 9Comparison of Image Based and Audio Based Techniques for Bird-Species Identification Chapter 10Detection of Ichthyosis Vulgaris Using SVM Chapter 11Chest X-Ray Diagnosis and Report Generation: Deep Learning Approach Chapter 12Deep Learning Based Automatic Image Caption Generation for Visually Impaired People Chapter 13Empirical Analysis of Machine Learning Techniques Under Class Imbalance and Incomplete DatasetsChapter 14 Gabor Filter As Feature Extractor in Anomaly Detection from Radiology Images Chapter 15Discriminative Features Selection from Zernike Moments for Shape Based Image Retrieval SystemChapter 16Corrected Components of Zernike Moments for Improved Content Based Image Retrieval: A Comprehensive StudyChapter 17Translate And Recreate Text in An Image Chapter 18Multi-Label Indian Scene Text Language Identification: Benchmark Dataset and Deep Ensemble BaselineChapter 19AI Based Wearables for Healthcare Applications: A Survey of Smart Watches Chapter 20Nature Inspired Computing for Optimization Chapter 21Automated Smart Billing Cart for Fruits

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