Cognitive Systems and Signal Processing in Image Processing

Cognitive Systems and Signal Processing in Image Processing presents different frameworks and applications of cognitive signal processing methods in image processing. This book provides an overview of recent applications in image processing by cognitive signal processing methods in the context of Big Data and Cognitive AI. It presents the amalgamation of cognitive systems and signal processing in the context of image processing approaches in solving various real-word application domains. This book reports the latest progress in cognitive big data and sustainable computing. Various real-time case studies and implemented works are discussed for better understanding and more clarity to readers. The combined model of cognitive data intelligence with learning methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues for computer vision in real-time. Presents cognitive signal processing methodologies that are related to challenging image processing application domains Provides the state-of-the-art in cognitive signal processing approaches in the area of big-data image processing Focuses on other technical aspects and alternatives to traditional tools, algorithms and methodologies Discusses various real-time case studies and implemented works INDICE: 1. Approach cognitive for health digital based on deep learning focused on classification and recognition of white blood cells Ana Carolina Borges Monteiro, Reinaldo Padilha Franca, Rangel Arthur, and Yuzo Iano 2. Assessment of land use land cover change detection in multitemporal satellite images using machine learning algorithm Mahalakshmi Murugan, S Rohini, and N Sureshkumar 3. Web application for crowd counting by building parallel and direct connection method CNN architectures Zhilin Hu 4. A cognitive system for lip identification using convolution neural networks Vishesh Agarwal and Rahul Raman 5. An overview of the impact of PACS as health informatics and technology e-health in healthcare management Reinaldo Padilha Franca, Ana Carolina Borges Monteiro, Rangel Arthur, and Yuzo Iano 6. Change detection technique for remote sensing application: An overview Rohini Selvaraj and Sureshkumar Nagarajan 7. Facial emotion recognition via stationary wavelet entropy and particle swarm optimization Xiang Li and Junding Sun 8. A research insight toward the significance in extraction of retinal blood vessels from fundus images and its various implementations Nimisha Anns Oommen and P. Darsana 9. Hearing loss classification via stationary wavelet entropy and cat swarm optimization Chong Yao 10. Early detection of breast cancer using efficient image processing algorithms and prediagnostic techniques: A detailed approach G. Boopathi Raja 11. Plant leaf and its disease, deficiency, and toxicity classification using machine learning approach K.R. Anu Bama and S. SujaPriyadharsini 12. EEG-based computer-aided diagnosis of autism spectrum disorder A. Sivasangari, Kishore Sonti, Grace Prince Kanmani, Sindhu, and D. Deepa 13. Toward improving the accuracy in the diagnosis of schizophrenia using functional magnetic resonance imaging (fMRI) M. Kaviya Elakkiya and Dejey 14. Artificial intelligence mediated integrated wearable device for diagnosis of cardio through remote monitoring A. Sivasangari, R. Subhashini, S. Poonguzhali, Immanuel Rajkumar, J.S. Vimali, and D. Deepa 15. Deep learning for accident avoidance in a hostile driving environment S. Selva Nidhyananthan, R. Newlin Shebiah, B. Vijaya Kumari, and K. Gopalakrishnan 16. Risk analysis of coronavirus patients who have underlying chronic disease cancer V. Kakulapati

• ISBN: 978-0-12-824410-4
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 398
• Fecha Publicación: 06/12/2021
• Nº Volúmenes: 1
• Idioma: Inglés