Processing Of Mammographic Images Using Speckle Technique
Hamed, Abdallah; T. Al. Saeed;
Abstract
We study the malignant and benign mammographic x – ray images using speckle techniques.
Discrimination between the mammographic images is outlined using circular aperture segmentation.
The algorithm is based on the selection of the interested segment from the mammographic image. We multiply the segment by a uniform circular aperture of diameter nearly equal the dimensions of the segment. Then, we multiply the modulated segment by a diffuse function. Finally, we operate the Fourier transform upon the three matrices to get a modulated speckle image. These modulated images are dependent upon the information on the selected image segment. The modulated speckle images and profiles of the mammographic images are investigated using mat-lab code.
Discrimination between the mammographic images is outlined using circular aperture segmentation.
The algorithm is based on the selection of the interested segment from the mammographic image. We multiply the segment by a uniform circular aperture of diameter nearly equal the dimensions of the segment. Then, we multiply the modulated segment by a diffuse function. Finally, we operate the Fourier transform upon the three matrices to get a modulated speckle image. These modulated images are dependent upon the information on the selected image segment. The modulated speckle images and profiles of the mammographic images are investigated using mat-lab code.
Other data
Title | Processing Of Mammographic Images Using Speckle Technique | Authors | Hamed, Abdallah ; T. Al. Saeed | Keywords | Mammographic x- ray images;modulated speckle images;correlation and contours of benign and malignant images | Issue Date | Jan-2014 | Journal | International Journal of Computational Engineering Research (IJCER) | Volume | 4 | Issue | 1 | Start page | 56 | End page | 62 |
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