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Radiography Images & Digital Image Processing: Testing Global Histogram Equalization and Unsharp Mask Algorhithms - Brossura
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Imaging methods are progressing in a rapidly manner, but the problem which we, as the health providers always encounter with, is the expensive costs of different devices and our limited budget to provide them. Conventional radiographies are still keeping their role in our diagnostic approach to the patients. The quality of radiography images has been improved considerably compared to its beginning. However it’s still necessary to enhance the available quality. Due to limited resources, it’s not possible to provide new equipments or to renovate the existing ones. Image enhancement techniques and software-base innovations could play an important role in providing the doctors images with higher resolution. Digital image processing is the use of computer algorithms to perform image processing on digital images. We have used global histogram equalization (GHE) and unsharp mask (UM) filters in processing conventional chest radiographies (CXR) to improve image quality. Although our study proposed some doubts against the effectiveness of Unsharp Mask technique, but the findings generally advocated the application of level enhancement techniques.
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L'autore
Dr. Seyed Babak Moosavi-Toomatari has obtained his MD degree in 2006 from Urmia University of Medical Sciences, Iran. He has started his residency in Radiology in 2012 at the University of Damascus, Syria. He has conducted plenty of research projects and developed several computer software. Some of his works are available at: http://www.sbmsoft.com
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Radiography Images & Digital Image Processing: Testing Global Histogram Equalization and Unsharp Mask Algorhithms
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ISBN 10: 3659178837
ISBN 13: 9783659178832
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Radiography Images & Digital Image Processing: Testing Global Histogram Equalization and Unsharp Mask Algorhithms
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Radiography Images & Digital Image Processing: Testing Global Histogram Equalization and Unsharp Mask Algorhithms
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Radiography Images & Digital Image Processing: Testing Global Histogram Equalization and Unsharp Mask Algorhithms
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Imaging methods are progressing in a rapidly manner, but the problem which we, as the health providers always encounter with, is the expensive costs of different devices and our limited budget to provide them. Conventional radiographies are still keeping their role in our diagnostic approach to the patients. The quality of radiography images has been improved considerably compared to its beginning. However it s still necessary to enhance the available quality. Due to limited resources, it s not possible to provide new equipments or to renovate the existing ones. Image enhancement techniques and software-base innovations could play an important role in providing the doctors images with higher resolution. Digital image processing is the use of computer algorithms to perform image processing on digital images. We have used global histogram equalization (GHE) and unsharp mask (UM) filters in processing conventional chest radiographies (CXR) to improve image quality. Although our study proposed some doubts against the effectiveness of Unsharp Mask technique, but the findings generally advocated the application of level enhancement techniques. Codice articolo 9783659178832
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Radiography Images & Digital Image Processing
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LAP LAMBERT Academic Publishing, 2012
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Moosavi Toomatari Seyed BabakDr. Seyed Babak Moosavi-Toomatari has obtained his MD degree in 2006 from Urmia University of Medical Sciences, Iran. He has started his residency in Radiology in 2012 at the University of Damascus, Syria. Codice articolo 5137364
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Radiography Images & Digital Image Processing: Testing Global Histogram Equalization and Unsharp Mask Algorhithms
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659178837
ISBN 13: 9783659178832
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