The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus

Research Article

Automated Contrast Improvement of X-Ray Image Using Otsu Threshold on Contrast-Limited Adaptive Histogram Equalization Algorithm

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  • @INPROCEEDINGS{10.4108/eai.24-10-2018.2280550,
        author={Aditya Akbar Riadi and Esti Wijayanti and Wibowo Harry Sugiharto and Anastasya Latubessy and Alif Catur Murti},
        title={Automated Contrast Improvement of X-Ray Image Using Otsu Threshold on Contrast-Limited Adaptive Histogram Equalization Algorithm},
        proceedings={The 1st International Conference on Computer Science and Engineering Technology Universitas Muria Kudus},
        publisher={EAI},
        proceedings_a={ICCSET},
        year={2018},
        month={11},
        keywords={otsu thresholding contrast-limited adaptive histogram equalization mean square error},
        doi={10.4108/eai.24-10-2018.2280550}
    }
    
  • Aditya Akbar Riadi
    Esti Wijayanti
    Wibowo Harry Sugiharto
    Anastasya Latubessy
    Alif Catur Murti
    Year: 2018
    Automated Contrast Improvement of X-Ray Image Using Otsu Threshold on Contrast-Limited Adaptive Histogram Equalization Algorithm
    ICCSET
    EAI
    DOI: 10.4108/eai.24-10-2018.2280550
Aditya Akbar Riadi1,*, Esti Wijayanti1, Wibowo Harry Sugiharto1, Anastasya Latubessy1, Alif Catur Murti1
  • 1: Departement Informatics Engineering, Universitas Muria Kudus, Indonesia
*Contact email: aditya.akbar@umk.ac.id

Abstract

In the medical world, X-ray image quality is still a serious concern. The quality of X-ray image results is represented in the X-ray image contrast range. Correction of contrast ranges can be done computationally to improve X-ray image quality. From the problem then needed a method to improve result of X-ray image quality. In this research proposed OTSU thresholding modified into the Contrast-Limited Adaptive Histogram Equalization algorithm as a substitute for cliplimit value to improve the contrast quality of X-ray Image results which will then be measured with Mean Square Error to find out how much error value is generated