An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving
This paper modifies the Adaptive Contrast Enhancement Algorithm with Details Preserving (ACEDP) technique by integrating a fuzzy element in the image type selection. The proposed technique, named the Adaptive Fuzzy Contrast Enhancement with Details Preserving (AFCEDP) technique, first computes the d...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
ITB Journal Publisher
2014-12-01
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| Series: | Journal of ICT Research and Applications |
| Online Access: | https://journals.itb.ac.id/index.php/jictra/article/view/697 |
| _version_ | 1819274091913281536 |
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| author | Jing Rui Tang Nor Ashidi Mat Isa |
| author_facet | Jing Rui Tang Nor Ashidi Mat Isa |
| author_sort | Jing Rui Tang |
| collection | DOAJ |
| description | This paper modifies the Adaptive Contrast Enhancement Algorithm
with Details Preserving (ACEDP) technique by integrating a fuzzy element in
the image type selection. The proposed technique, named the Adaptive Fuzzy
Contrast Enhancement with Details Preserving (AFCEDP) technique, first
computes the degree of membership of the input image to three categories, i.e.
low-, middle- or high-level images. The AFCEDP technique then clips the
histogram at different plateau limits that are computed from both the degree of
membership and the clipping functions. The classification of an image in the
ACEDP technique is done based solely on the intensity range of the maximum
number of pixels, which may be inaccurate. In the proposed AFCEDP technique,
the image type classification is handled in a better way with the integration of a
fuzzy element. The performance of the proposed AFCEDP technique was
compared with the conventional ACEDP technique and several state-of-art
techniques described in the literature. The simulation results revealed that the
AFCEDP technique demonstrates good capability in contrast enhancement and
detail preservation. In addition, the experiments using cervical cell images and
HEp-2 cell images showed great potential of the AFCEDP technique as a
technique for enhancing medical microscopic images. |
| first_indexed | 2024-12-23T23:02:55Z |
| format | Article |
| id | doaj.art-d228195bb5504dd8861481f6b90f2bdd |
| institution | Directory Open Access Journal |
| issn | 2337-5787 2338-5499 |
| language | English |
| last_indexed | 2024-12-23T23:02:55Z |
| publishDate | 2014-12-01 |
| publisher | ITB Journal Publisher |
| record_format | Article |
| series | Journal of ICT Research and Applications |
| spelling | doaj.art-d228195bb5504dd8861481f6b90f2bdd2022-12-21T17:26:53ZengITB Journal PublisherJournal of ICT Research and Applications2337-57872338-54992014-12-018210.5614/itbj.ict.res.appl.2014.8.2.4814An Adaptive Fuzzy Contrast Enhancement Algorithm with Details PreservingJing Rui Tang0Nor Ashidi Mat Isa1Imaging and Intelligent System Research Team (ISRT), School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, MalaysiaImaging and Intelligent System Research Team (ISRT), School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, MalaysiaThis paper modifies the Adaptive Contrast Enhancement Algorithm with Details Preserving (ACEDP) technique by integrating a fuzzy element in the image type selection. The proposed technique, named the Adaptive Fuzzy Contrast Enhancement with Details Preserving (AFCEDP) technique, first computes the degree of membership of the input image to three categories, i.e. low-, middle- or high-level images. The AFCEDP technique then clips the histogram at different plateau limits that are computed from both the degree of membership and the clipping functions. The classification of an image in the ACEDP technique is done based solely on the intensity range of the maximum number of pixels, which may be inaccurate. In the proposed AFCEDP technique, the image type classification is handled in a better way with the integration of a fuzzy element. The performance of the proposed AFCEDP technique was compared with the conventional ACEDP technique and several state-of-art techniques described in the literature. The simulation results revealed that the AFCEDP technique demonstrates good capability in contrast enhancement and detail preservation. In addition, the experiments using cervical cell images and HEp-2 cell images showed great potential of the AFCEDP technique as a technique for enhancing medical microscopic images.https://journals.itb.ac.id/index.php/jictra/article/view/697 |
| spellingShingle | Jing Rui Tang Nor Ashidi Mat Isa An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving Journal of ICT Research and Applications |
| title | An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving |
| title_full | An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving |
| title_fullStr | An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving |
| title_full_unstemmed | An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving |
| title_short | An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving |
| title_sort | adaptive fuzzy contrast enhancement algorithm with details preserving |
| url | https://journals.itb.ac.id/index.php/jictra/article/view/697 |
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