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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.
A crowd-counting web application based on the convolutional neural network (CNN) model can quickly solve the user’s crowd-counting problem, while increasing the user’s understanding of the crowd density in the image, reducing the time to count the number of people and avoiding safety hazards. For example, when a company organizes an employee party, due to the large number of participants taking photos, the photos can be uploaded to the network application for crowd counting to avoid employee accidents caused by counting errors. The application of CNNs in crowd counting is one of the research directions of CNN models, and crowd density is one of the indicators of safety in public places. CNNs are robust to image processing and classification, and the convolution operation is the main difference between CNNs and traditional neural networks.
Approach cognitive for health digital based on deep learning focused on classification and recognition of white blood cells
Assessment of land use land cover change detection in multitemporal satellite images using machine learning algorithm
Web application for crowd counting by building parallel and direct connection method CNN architectures
A cognitive system for lip identification using convolution neural networks
An overview of the impact of PACS as health informatics and technology e-health in healthcare management
Change detection technique for remote sensing application: An overview
Facial emotion recognition via stationary wavelet entropy and particle swarm optimization
A research insight toward the significance in extraction of retinal blood vessels from fundus images and its various implementations
Hearing loss classification via stationary wavelet entropy and cat swarm optimization
Early detection of breast cancer using efficient image processing algorithms and prediagnostic techniques: A detailed approach
Plant leaf and its disease, deficiency, and toxicity classification using machine learning approach
EEG-based computer-aided diagnosis of autism spectrum disorder
Toward improving the accuracy in the diagnosis of schizophrenia using functional magnetic resonance imaging (fMRI)
Artificial intelligence mediated integrated wearable device for diagnosis of cardio through remote monitoring
Deep learning for accident avoidance in a hostile driving environment
Risk analysis of coronavirus patients who have underlying chronic disease cancer