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Emissie tomografie van de cerebrale doorbloeding en glucose metabolisme is nuttig voor de niet-invasieve preoperatieve evaluatie van patiënten met moeilijk te behandelen partiële epilepsie. Dit werk verschaft technieken die de invloed van beeld degradatie effecten op de detectie van epileptische regio's reduceren. Een op anatomie gebaseerd maximum-a-posteriori (A-MAP) algoritme voor partieel volume correctie van de activiteit in de grijze stof werd ontwikkeld. De methode gebruikt gesegmenteerde kern-spin tomografie data en kennis van de pathologie. A-MAP levert excellente resultaten en is met succes in de praktijk toegepast. Daarnaast hebben we de invloed van de reconstructie methode en de techniek voor ruisonderdrukking onderzocht voor het karakteriseren van gegroepeerde voxels bij subtractie SPECT. De resultaten tonen aan dat A-MAP toegepast op SPECT data de nauwkeurigheid bij de preoperatieve lokalisatie van epileptische regio's verbetert. Emission tomography of cerebral blood flow and glucose metabolism are useful for non-invasive presurgical evaluation of patients with refractory partial epilepsy. This work provides techniques to reduce the influence of image degrading effects on the detection of epileptogenic regions. We developed an anatomy based maximum-a-posteriori (A-MAP) reconstruction method for partial volume correction of the gray matter activity. The method uses segmented magnetic resonance imaging data and knowledge of the pathology. A-MAP yields excellent results and has been applied successfully in practice. We also studied the influence of the reconstruction and noise suppression technique on the characterization of clustered voxels in subtraction SPECT. The results indicate that the application of A-MAP on SPECT data improves the presurgical localization accuracy of epileptogenic regions.
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Image Fusion is an important branch of information fusion, and it is also an important technology for image understanding and computer vision. The fusion process is to merging different images into one to get more accurate description for the scene. The original images for image fusion are always obtained by several different image sensors, or the same sensor in different operating modes. The fused image can provide more effective information for further image processing, such as image segmentation, object detection and recognition. Image fusion is a new study field which combined with many different disciplines, such as sensors, signal processing, image processing, computer and artificial intelligence. In the past two decades, a large number of research literatures appear. This book is edited based on these research results, and many research scholars give a great help to this book.
Image processing. --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Image processing
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Character recognition is one of the pattern recognition technologies that are most widely used in practical applications. This book presents recent advances that are relevant to character recognition, from technical topics such as image processing, feature extraction or classification, to new applications including human-computer interfaces. The goal of this book is to provide a reference source for academic research and for professionals working in the character recognition field.
Image processing. --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Image processing
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681.3*I4 --- 681.3*I4 Image processing: image displays image processing software (Computing methododologies) --- Image processing: image displays image processing software (Computing methododologies) --- Robots, Industrial. --- Robots industriels --- visionsystemen --- Image processing: image displays; image processing software (Computing methododologies) --- 681.3*I4 Image processing: image displays; image processing software (Computing methododologies) --- robotica --- robots
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са методи и алгоритми за обработка на аерофото и радиолокационни изображения, които улесняват анализа на информацията и успешно са приложени при решаване на задачи от областта на оптиката и радиолокацията. Книгата се състои от четири части. В първата част направен анализ на съществуващите теории и високоефективни математически методи за обработка на цифрови изображения. Във втората част е направен анализ и оценка на системите за радиолокационно и оптично наблюдение. А в третата част е направена оценка на методите и са разработени алгоритмите за преобразуване и възстановяване на изображения получени от РСА и оптични камери. Четвърта част са резултатите от числените експерименти на разработените алгоритми за обработка на радиолокационни и оптични изображения, както и са оценени анализираните в предходните части алгоритми, тяхната ефективност върху реално направени аеро-фото снимки и изображения, получени от РСА, разположен на борда на БЛА. Methods and algorithms for aerial and radar image processing, that facilitating analysis of information are considered and they have been successfully applied in solving problems in optics and radio-location areas. The book consists of four parts. In the first part an analysis of the theory and modern high efficient models for digital image processing is done. In the second part an evaluation and an analysis of radar and optical systems for surveillance are done. In the third part an evaluation of different methods is done and algorithms for radar and optical image transformation and restoration are obtained. In the fourth part the computer simulations of the developed algorithms for processing of radar and optical image are presented. The analyzed algorithms are evaluated, and the effectiveness of these algorithms is determined, using real aerial pictures and images from synthetic aperture radar made from unmanned aerial vehicle.
Image processing. --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing
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Image processing. --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing
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This graduate textbook presents fundamentals, applications and evaluation of image segregation, unit description, feature measurement and pattern recognition. Analysis on textile, shape and motion are discussed and mathematical tools are employed extensively. Rich in examples and excises, it prepares electrical engineering and computer science students with knowledge and skills for further studies on image understanding.
Image processing. --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing
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