An improved peripheral enhancement of mammogram images by using filtered region growing segmentation

During the mammographic acquisition, the breast is compressed with a tilting compression paddle; hence the breast thickness is non-uniform across the mammogram and thinner in the peripheral area and therefore over exposing this area. In Computer Aided Detection systems, peripheral enhancements were...

Full description

Bibliographic Details
Main Authors: Abubacker, Nirase Fathima, Azman, Azreen, Azmi Murad, Masrah Azrifah, C. Doraisamy, Shyamala
Format: Article
Language:English
Published: Asian Research Publication Network 2017
Online Access:http://psasir.upm.edu.my/id/eprint/60823/1/An%20improved%20peripheral%20enhancement%20of%20mammogram%20images%20by%20using%20filtered%20region%20growing%20segmentation.pdf
_version_ 1825932249515687936
author Abubacker, Nirase Fathima
Azman, Azreen
Azmi Murad, Masrah Azrifah
C. Doraisamy, Shyamala
author_facet Abubacker, Nirase Fathima
Azman, Azreen
Azmi Murad, Masrah Azrifah
C. Doraisamy, Shyamala
author_sort Abubacker, Nirase Fathima
collection UPM
description During the mammographic acquisition, the breast is compressed with a tilting compression paddle; hence the breast thickness is non-uniform across the mammogram and thinner in the peripheral area and therefore over exposing this area. In Computer Aided Detection systems, peripheral enhancements were used as a pre-processing stage for the enhancement of peripheral visibility of the uncompressed region of the projected breasts. A correction function is required to expand the perceptibility of the peripheral area that necessitates a better-segmented output of the peripheral region. This paper aims to improve the peripheral enhancement technique by using region growing segmentation method combined with an average filter that scales the grey level of the border regions to brighten the mammogram image. The filter enhances the details of those images and helps to obtain a better segmentation output, which is used as an input to the peripheral enhancement process. In the evaluation, a total of 600 images that consists of 300 normal, 170 benign and 130 malignant mass images, which are obtained from the Digital Database Screening Mammography (DDSM) dataset of the University of South Florida are used. The quality of an image after the peripheral enhancement process is evaluated subjectively and objectively, by using visual illustrations and the peak signal-to-noise ratio (PSNR), respectively. The results obtained show that the filtered region growing segmentation method outperforms the Otsu and the K-means segmentation methods.
first_indexed 2024-03-06T09:39:05Z
format Article
id upm.eprints-60823
institution Universiti Putra Malaysia
language English
last_indexed 2024-03-06T09:39:05Z
publishDate 2017
publisher Asian Research Publication Network
record_format dspace
spelling upm.eprints-608232019-03-26T09:34:31Z http://psasir.upm.edu.my/id/eprint/60823/ An improved peripheral enhancement of mammogram images by using filtered region growing segmentation Abubacker, Nirase Fathima Azman, Azreen Azmi Murad, Masrah Azrifah C. Doraisamy, Shyamala During the mammographic acquisition, the breast is compressed with a tilting compression paddle; hence the breast thickness is non-uniform across the mammogram and thinner in the peripheral area and therefore over exposing this area. In Computer Aided Detection systems, peripheral enhancements were used as a pre-processing stage for the enhancement of peripheral visibility of the uncompressed region of the projected breasts. A correction function is required to expand the perceptibility of the peripheral area that necessitates a better-segmented output of the peripheral region. This paper aims to improve the peripheral enhancement technique by using region growing segmentation method combined with an average filter that scales the grey level of the border regions to brighten the mammogram image. The filter enhances the details of those images and helps to obtain a better segmentation output, which is used as an input to the peripheral enhancement process. In the evaluation, a total of 600 images that consists of 300 normal, 170 benign and 130 malignant mass images, which are obtained from the Digital Database Screening Mammography (DDSM) dataset of the University of South Florida are used. The quality of an image after the peripheral enhancement process is evaluated subjectively and objectively, by using visual illustrations and the peak signal-to-noise ratio (PSNR), respectively. The results obtained show that the filtered region growing segmentation method outperforms the Otsu and the K-means segmentation methods. Asian Research Publication Network 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/60823/1/An%20improved%20peripheral%20enhancement%20of%20mammogram%20images%20by%20using%20filtered%20region%20growing%20segmentation.pdf Abubacker, Nirase Fathima and Azman, Azreen and Azmi Murad, Masrah Azrifah and C. Doraisamy, Shyamala (2017) An improved peripheral enhancement of mammogram images by using filtered region growing segmentation. Journal of Theoretical and Applied Information Technology, 95 (14). 3270 - 3280. ISSN 1992-8645; ESSN: 1817-3195
spellingShingle Abubacker, Nirase Fathima
Azman, Azreen
Azmi Murad, Masrah Azrifah
C. Doraisamy, Shyamala
An improved peripheral enhancement of mammogram images by using filtered region growing segmentation
title An improved peripheral enhancement of mammogram images by using filtered region growing segmentation
title_full An improved peripheral enhancement of mammogram images by using filtered region growing segmentation
title_fullStr An improved peripheral enhancement of mammogram images by using filtered region growing segmentation
title_full_unstemmed An improved peripheral enhancement of mammogram images by using filtered region growing segmentation
title_short An improved peripheral enhancement of mammogram images by using filtered region growing segmentation
title_sort improved peripheral enhancement of mammogram images by using filtered region growing segmentation
url http://psasir.upm.edu.my/id/eprint/60823/1/An%20improved%20peripheral%20enhancement%20of%20mammogram%20images%20by%20using%20filtered%20region%20growing%20segmentation.pdf
work_keys_str_mv AT abubackernirasefathima animprovedperipheralenhancementofmammogramimagesbyusingfilteredregiongrowingsegmentation
AT azmanazreen animprovedperipheralenhancementofmammogramimagesbyusingfilteredregiongrowingsegmentation
AT azmimuradmasrahazrifah animprovedperipheralenhancementofmammogramimagesbyusingfilteredregiongrowingsegmentation
AT cdoraisamyshyamala animprovedperipheralenhancementofmammogramimagesbyusingfilteredregiongrowingsegmentation
AT abubackernirasefathima improvedperipheralenhancementofmammogramimagesbyusingfilteredregiongrowingsegmentation
AT azmanazreen improvedperipheralenhancementofmammogramimagesbyusingfilteredregiongrowingsegmentation
AT azmimuradmasrahazrifah improvedperipheralenhancementofmammogramimagesbyusingfilteredregiongrowingsegmentation
AT cdoraisamyshyamala improvedperipheralenhancementofmammogramimagesbyusingfilteredregiongrowingsegmentation