TELKOMNIKA Telecommunication, Computing, Electronics and Control
Qualitative assessment of image enhancement algorithms for mammograms based on minimum EDV

Dublin Core

Title

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Qualitative assessment of image enhancement algorithms for mammograms based on minimum EDV

Subject

Entropy difference value (EDV), Gamma correction, Histogram equalization, Logarithmic transformation, Morphology enhancement

Description

Breast cancer is one of the leading reason of death among women.
Nevertheless, medications for this fatal disease are still away of ambitions. Patients (thought to have breast cancer) should go through several advanced medical diagnostic procedures like mammography, biopsy analysis, ultrasound imaging, etc. Mammography is one of the medical imaging techniques used for detecting breast cancer. However, its resulted images may not be clear enough or helpful for physician to diagnose each case correctly. This fact has pushed researchers towards developing effective ways to enhance images throughout using various enhancement algorithms. In this paper, a comparison amongst these applied algorithms was done to evaluate the optimum enhancement technique. A morphology enhancement, which is resulted from combining top-hat operation and bottom-hat operation, was used as a proposed enhancement algorithm. The proposed enhancement algorithm was compared to three other well-known enhancement algorithms, specifically histogram equalization, logarithmic transform, and gamma correction with different gamma values. Twenty-five mammographic images were taken from the mammography image analysis society (MIAS) database samples. The minimum entropy difference value (EDV) was used as metric to evaluate the best enhancement algorithm. Results has approved that the proposed
enhancement algorithm gave the best-enhanced images in comparison to the aforementioned algorithms.

Creator

Mazin N. Farhan, Mohammed G. Ayoub, Hassan M. Qassim, Abdulrahman K. Eesee

Source

DOI: 10.12928/TELKOMNIKA.v18i2.14085

Publisher

Universitas Ahmad Dahlan

Date

April 2020

Contributor

Sri Wahyuni

Rights

ISSN: 1693-6930

Relation

http://journal.uad.ac.id/index.php/TELKOMNIKA

Format

PDF

Language

English

Type

Text

Coverage

TELKOMNIKA Telecommunication, Computing, Electronics and Control

Files

Collection

Tags

,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon ,

Citation

Mazin N. Farhan, Mohammed G. Ayoub, Hassan M. Qassim, Abdulrahman K. Eesee, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
Qualitative assessment of image enhancement algorithms for mammograms based on minimum EDV,” Repository Horizon University Indonesia, accessed April 3, 2025, https://repository.horizon.ac.id/items/show/3671.