Computer Vision and Recognition Systems: Research Innovations and Trends

ISBN-13: 9781774630150 / Angielski / Twarda / 2022 / 256 str.

Chiranji Lal Chowdhary; G. Thippa Reddy; B. D. Parameshachari

Opis

Focuses on how artificial intelligence can be used to give computers the ability to imitate human sight. Topics include Parkinson’s disease diagnosis, big image data processing, N-grams for image classification, medical brain images, credit score improvisation, vision-based lane and vehicle detection, damaged vehicle parts recognition, partial imag

Spis treści

1. Visual Quality Improvement Using Single Image Defogging Technique 2. A Comparative Study of Machine Learning Algorithms in Parkinson’s Disease Diagnosis: A Review 3. Machine Learning Algorithms for Hypertensive Retinopathy Detection through Retinal Fundus Images 4. Big Image Data Processing: Methods, Technologies, and Implementation Issues 5. N-grams for Image Classification and Retrieval 6. A Survey on Evolutionary Algorithms for Medical Brain Images 7. Chatbot Application with Scene Graph in Thai Language 8. Credit Score Improvisation through Automating the Extraction of Sentiment from Reviews 9. Vision-Based Lane and Vehicle Detection: A First Step Toward Autonomous Unmanned Vehicle 10. Damaged Vehicle Parts Recognition Using Capsule Neural Network 11. Partial Image Encryption of Medical Images Based on Various Permutation Techniques 12. Image Synthesis with Generative Adversarial Networks (GAN)