Wavelet Based Signal Processing Techniques by Ahmed Saif (9 results)

Condition: New.

Paperback. Condition: new. Paperback. This book is about how wavelet-based signal processing can be used to fuse multiple medical images from different scanning technologies into one single, information-rich image that helps physical doctors make faster and more accurate diagnoses. It explains how tools like MRI, CT, PET, and Ultrasound each reveal different aspects of the human body. Still, none of them alone tells the complete clinical story, and how wavelet mathematics solves this by decomposing each image into frequency components, merging the most diagnostically valuable information from each source, and reconstructing one unified image that contains everything the physician needs to see. The book covers walks through the complete image fusion pipeline from preprocessing and registration through decomposition and fusion rules to final image reconstruction, and then applies these techniques to real clinical scenarios, including brain tumor detection, cardiac disease, Alzheimer's diagnosis, orthopedic injury, and cancer radiation planning. It also presents objective quality metrics like PSNR, SSIM, and Petrovec algorithm. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is about how wavelet-based signal processing can be used to fuse multiple medical images from different scanning technologies into one single, information-rich image that helps physical doctors make faster and more accurate diagnoses. It explains how tools like MRI, CT, PET, and Ultrasound each reveal different aspects of the human body. Still, none of them alone tells the complete clinical story, and how wavelet mathematics solves this by decomposing each image into frequency components, merging the most diagnostically valuable information from each source, and reconstructing one unified image that contains everything the physician needs to see. The book covers walks through the complete image fusion pipeline from preprocessing and registration through decomposition and fusion rules to final image reconstruction, and then applies these techniques to real clinical scenarios, including brain tumor detection, cardiac disease, Alzheimer's diagnosis, orthopedic injury, and cancer radiation planning. It also presents objective quality metrics like PSNR, SSIM, and Petrovec algorithm. 104 pp. Englisch.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book is about how wavelet-based signal processing can be used to fuse multiple medical images from different scanning technologies into one single, information-rich image that helps physical doctors make faster and more accurate diagnoses. It explains how tools like MRI, CT, PET, and Ultrasound each reveal different aspects of the human body. Still, none of them alone tells the complete clinical story, and how wavelet mathematics solves this by decomposing each image into frequency components, merging the most diagnostically valuable information from each source, and reconstructing one unified image that contains everything the physician needs to see. The book covers walks through the complete image fusion pipeline from preprocessing and registration through decomposition and fusion rules to final image reconstruction, and then applies these techniques to real clinical scenarios, including brain tumor detection, cardiac disease, Alzheimer's diagnosis, orthopedic injury, and cancer radiation planning. It also presents objective quality metrics like PSNR, SSIM, and Petrovec algorithm.…

Paperback. Condition: new. Paperback. This book is about how wavelet-based signal processing can be used to fuse multiple medical images from different scanning technologies into one single, information-rich image that helps physical doctors make faster and more accurate diagnoses. It explains how tools like MRI, CT, PET, and Ultrasound each reveal different aspects of the human body. Still, none of them alone tells the complete clinical story, and how wavelet mathematics solves this by decomposing each image into frequency components, merging the most diagnostically valuable information from each source, and reconstructing one unified image that contains everything the physician needs to see. The book covers walks through the complete image fusion pipeline from preprocessing and registration through decomposition and fusion rules to final image reconstruction, and then applies these techniques to real clinical scenarios, including brain tumor detection, cardiac disease, Alzheimer's diagnosis, orthopedic injury, and cancer radiation planning. It also presents objective quality metrics like PSNR, SSIM, and Petrovec algorithm. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condition: Neu. Wavelet-Based Signal Processing Techniques for Medical Image Fusion | Focus on Accurate Diagnoses | Saif Ahmed (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630014105 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu Print on Demand. …

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware 104 pp. Englisch.