FRACTAL PATTERN APPLICATION FOR MEDICAL IMAGE SEGMENTATION
This research aims to use a number of special techniques for segmentation medical images through algorithm fractal segmentation as a new technical in the field of digital images segmentation .This is an important aspect in the field treatment applications. External edges of the image can be portion...
Main Author: | |
---|---|
Format: | Article |
Language: | Arabic |
Published: |
Mustansiriyah University/College of Engineering
2017-07-01
|
Series: | Journal of Engineering and Sustainable Development |
Subjects: | |
Online Access: | https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/472 |
_version_ | 1828200434433523712 |
---|---|
author | مها عبد الامير كاظم |
author_facet | مها عبد الامير كاظم |
author_sort | مها عبد الامير كاظم |
collection | DOAJ |
description |
This research aims to use a number of special techniques for segmentation medical images through algorithm fractal segmentation as a new technical in the field of digital images segmentation .This is an important aspect in the field treatment applications. External edges of the image can be portioning and identifying the homogenous areas using three criteria to evaluate the segmentation method in terms of accuracy quality and effiencey. Resulted images quality were better than the original through detecting the edges of images blurred and highlight the edges of images and using Approximate fractal and digital filter (DCT). Way calculated by comparing the performance of the candidate fractal with effects such as an influential Laplace.The results shared a similar performance with low -noise image. Meanwhile, they were better using stimuli fractal with high-noise image. The investigation was made in MATLAB.
|
first_indexed | 2024-04-12T11:14:07Z |
format | Article |
id | doaj.art-fb503c6bf65d420f8e9df5e63510b59e |
institution | Directory Open Access Journal |
issn | 2520-0917 2520-0925 |
language | Arabic |
last_indexed | 2024-04-12T11:14:07Z |
publishDate | 2017-07-01 |
publisher | Mustansiriyah University/College of Engineering |
record_format | Article |
series | Journal of Engineering and Sustainable Development |
spelling | doaj.art-fb503c6bf65d420f8e9df5e63510b59e2022-12-22T03:35:33ZaraMustansiriyah University/College of EngineeringJournal of Engineering and Sustainable Development2520-09172520-09252017-07-01214FRACTAL PATTERN APPLICATION FOR MEDICAL IMAGE SEGMENTATIONمها عبد الامير كاظم0، This research aims to use a number of special techniques for segmentation medical images through algorithm fractal segmentation as a new technical in the field of digital images segmentation .This is an important aspect in the field treatment applications. External edges of the image can be portioning and identifying the homogenous areas using three criteria to evaluate the segmentation method in terms of accuracy quality and effiencey. Resulted images quality were better than the original through detecting the edges of images blurred and highlight the edges of images and using Approximate fractal and digital filter (DCT). Way calculated by comparing the performance of the candidate fractal with effects such as an influential Laplace.The results shared a similar performance with low -noise image. Meanwhile, they were better using stimuli fractal with high-noise image. The investigation was made in MATLAB. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/472segmentationblurred imagedigital filter |
spellingShingle | مها عبد الامير كاظم FRACTAL PATTERN APPLICATION FOR MEDICAL IMAGE SEGMENTATION Journal of Engineering and Sustainable Development segmentation blurred image digital filter |
title | FRACTAL PATTERN APPLICATION FOR MEDICAL IMAGE SEGMENTATION |
title_full | FRACTAL PATTERN APPLICATION FOR MEDICAL IMAGE SEGMENTATION |
title_fullStr | FRACTAL PATTERN APPLICATION FOR MEDICAL IMAGE SEGMENTATION |
title_full_unstemmed | FRACTAL PATTERN APPLICATION FOR MEDICAL IMAGE SEGMENTATION |
title_short | FRACTAL PATTERN APPLICATION FOR MEDICAL IMAGE SEGMENTATION |
title_sort | fractal pattern application for medical image segmentation |
topic | segmentation blurred image digital filter |
url | https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/472 |
work_keys_str_mv | AT mhạʿbdạlạmyrkạẓm fractalpatternapplicationformedicalimagesegmentation |