Performance Study of Different Medical Images Based on Morphology in Noisy Environment
نویسنده
چکیده
Identification of Medical images is done using their regional structures. Edge detection is a basic element in the area of image processing and computer vision particularly for feature extraction. Edge detection simplifies the amount of data to be processed with modifying the structural properties of the image. Edge is a boundary between the foreground and background. Medical image edge detection concentrates on object recognition of human organs but involves noise along with shadows and boundaries. Several diagnostic tools used to detect the disease are CT, MRI, PET, US and DICOM. In this paper performance of CT and DICOM images are evaluated in noisy environment using morphology and edge detection algorithms. A comparision of different edge detecting methods using different noises is performed and evaluated based on parameters like correlation coefficient and PSNR. The results judge the ability of operators in presence of noise.
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