COMPARISON OF IMAGE ENHANCEMENT METHODS FOR CHROMOSOME KARYOTYPE IMAGE ENHANCEMENT

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 st...

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Bibliographic Details
Published inJurnal ilmu komputer dan informasi (Journal of computer science and information) (Online) Vol. 10; no. 1; pp. 50 - 58
Main Authors Sri Arsa, Dewa Made, Jati, Grafika, Santoso, Agung, Filano, Rafli, Hanifah, Nurul, Rachmadi, Muhammad Febrian
Format Journal Article
LanguageEnglish
Published Universitas Indonesia 28.02.2017
Subjects
Chromosome
DNA
Image Enhancement
Image Processing
MetaSystem Ikaros
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Summary: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. 
ISSN:2088-7051
2502-9274
DOI:10.21609/jiki.v10i1.445