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COMPARISON OF IMAGE ENHANCEMENT METHODS FOR CHROMOSOME KARYOTYPE IMAGE ENHANCEMENT

Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 10 No. 1 (2017) · pp. 50–58

DOI
10.21609/jiki.v10i1.445
ISSN
2502-9274, 2088-7051
Published
2017-02-28
Publisher
Faculty of Computer Science - Universitas Indonesia
Language
eng

Abstract

The chromosome is a set of DNA structure that carry information about our life. The information can be obtained through Karyotyping. The process requires a clear image so the chromosome can be evaluate well. Preprocessing have to be done on chromosome images that is image enhancement. The process starts with image background removing. The image will be cleaned background color. The next step is image enhancement. This paper compares several methods for image enhancement. We evaluate some method in image enhancement like Histogram Equalization (HE), Contrast-limiting Adaptive Histogram Equalization (CLAHE), Histogram Equalization with 3D Block Matching (HE+BM3D), and basic image enhancement, unsharp masking. We examine and discuss the best method for enhancing chromosome image. Therefore, to evaluate the methods, the original image was manipulated by the addition of some noise and blur. Peak Signal-to-noise Ratio (PSNR) and Structural Similarity Index (SSIM) are used to examine method performance. The output of enhancement method will be compared with result of Professional software for karyotyping analysis named Ikaros MetasystemT M. Based on experimental results, HE+BM3D method gets a stable result on both scenario noised and blur image.

Keywords

Collaboration network of the authors

30 authors · 80 co-authorship links · 41 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • University of Indonesia
  • Universitas Negeri Surabaya
  • University of Edinburgh
  • Diponegoro University
  • Pelita Harapan University
  • The University of Melbourne
  • Tarumanagara University
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Muhammad Hafizhuddin HilmanThe University of Melbourne3
Adi WibowoDiponegoro University2
Dwi Marhaendro Jati PurnomoUniversity of Indonesia2
Benny HardjonoPelita Harapan University2
Novian HabibieUniversity of Indonesia2
Machmud Roby AlhamidiUniversity of Indonesia2
Muhammad Syaeful FajarUniversity of Indonesia1
Fadhlurrahman AfifUniversity of Indonesia1
Muhammad Anwar Ma’SumUniversity of Indonesia1
Ratna RustamadjiUniversity of Indonesia1
Miesje Karmiati PurwanegaraUniversity of Indonesia1
Sani Muhammad IsaTarumanagara University1
Ari WibisonoUniversity of Indonesia1
Dwi PurnomoAffiliation unknown1
Sumarsih Condroayu PurbaraniUniversity of Indonesia1
Qurrotin Aâ€TMyuninaUniversity of Indonesia1
Muhammad Anwar Maâ€TMsumUniversity of Indonesia1
Arie Rachmad SyulistyoPoliteknik Negeri Malang1
Muhamad SolehUniversity of Indonesia1
Elly Matul ImahUniversitas Negeri Surabaya1
Zumrotun NafisahUniversitas Negeri Surabaya1
Wisnu JatmikoUniversity of Indonesia1
Siti Hadiyan PratiwiUniversity of Indonesia1
Putri ShaniyaUniversity of Indonesia1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://jiki.cs.ui.ac.id/index.php/jiki/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">COMPARISON OF IMAGE ENHANCEMENT METHODS FOR CHROMOSOME KARYOTYPE IMAGE ENHANCEMENT</dc:title>
	<dc:creator>Sri Arsa, Dewa Made</dc:creator>
	<dc:creator>Jati, Grafika</dc:creator>
	<dc:creator>Santoso, Agung</dc:creator>
	<dc:creator>Filano, Rafli</dc:creator>
	<dc:creator>Hanifah, Nurul</dc:creator>
	<dc:creator>Rachmadi, Muhammad Febrian</dc:creator>
	<dc:subject xml:lang="en-US">Chromosome</dc:subject>
	<dc:subject xml:lang="en-US">DNA</dc:subject>
	<dc:subject xml:lang="en-US">Image Enhancement</dc:subject>
	<dc:subject xml:lang="en-US">MetaSystem Ikaros</dc:subject>
	<dc:subject xml:lang="en-US">Image Processing</dc:subject>
	<dc:description xml:lang="en-US">The chromosome is a set of DNA structure that carry information about our life. The information can be obtained through Karyotyping. The process requires a clear image so the chromosome can be evaluate well. Preprocessing have to be done on chromosome images that is image enhancement. The process starts with image background removing. The image will be cleaned background color. The next step is image enhancement. This paper compares several methods for image enhancement. We evaluate some method in image enhancement like Histogram Equalization (HE), Contrast-limiting Adaptive Histogram Equalization (CLAHE), Histogram Equalization with 3D Block Matching (HE+BM3D), and basic image enhancement, unsharp masking. We examine and discuss the best method for enhancing chromosome image. Therefore, to evaluate the methods, the original image was manipulated by the addition of some noise and blur. Peak Signal-to-noise Ratio (PSNR) and Structural Similarity Index (SSIM) are used to examine method performance. The output of enhancement method will be compared with result of Professional software for karyotyping analysis named Ikaros MetasystemT M . Based on experimental results, HE+BM3D method gets a stable result on both scenario noised and blur image. </dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Computer Science  - Universitas Indonesia</dc:publisher>
	<dc:date>2017-02-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/445</dc:identifier>
	<dc:identifier>10.21609/jiki.v10i1.445</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmu Komputer dan Informasi; Vol. 10 No. 1 (2017): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information); 50-58</dc:source>
	<dc:source>2502-9274</dc:source>
	<dc:source>2088-7051</dc:source>
	<dc:source>10.21609/jiki.v10i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/445/368</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 Jurnal Ilmu Komputer dan Informasi</dc:rights>
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