Radiography Images & Digital Image Processing: Testing Global Histogram Equalization and Unsharp Mask Algorhithms par Seyed Babak Moosavi Toomatari, Nariman Sepehrvand, Afshin Mohammadi: New Paperback (2012)

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N� de r�f. du vendeur 6666-IUK-9783659178832

D�tails bibliographiques

Titre: Radiography Images & Digital Image Processing: Testing Global Histogram Equalization and Unsharp Mask Algorhithms
�diteur: LAP LAMBERT Academic Publishing 2012-07-06
Date de parution: 2012
Langue: anglais
ISBN � 10 chiffres: 3659178837
ISBN � 13 chiffres: 9783659178832
Reliure: Paperback
�tat de l'article: New

A propos de ce titre

Synopsis

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.

Pr�sentation de l'�diteur

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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