TELKOMNIKA (Telecommunication Computing Electronics and Control)
Vol 15, No 3: September 2017

Histogram Equalization for Improving Quality of Low-resolution Ultrasonography Images

Retno Supriyanti (Jenderal Soedirman University)
Subkhi Adhi Priyono (Jenderal Soedirman University)
Eko Murdyantoro (Jenderal Soedirman University)
Haris Budi Widodo (Jenderal Soedirman University)



Article Info

Publish Date
01 Sep 2017

Abstract

The current development of digital image processing techniques have been very rapid. Application of digital image processing both hardware and software are available with a variety of features as a form of superiority. Medical ultrasonography is one of the results of digital image processing technology. It is a kind of diagnostic imaging technique with ultrasonic that is used to produce images of internal organs and muscles, size, structure, and wound pathology, which makes this technique is useful for checking organ. However the images produced by low resolution ultrasonography device is not fully produce clear information. In this research we use histogram equalization to improve image quality. In this paper we emphasize on the comparison of the two methods in the histogram equalization, namely Enhance Contrast Using Histogram Equalization (ECHE) and Contrast-Limited Adaptive Histogram Equalization (CLAHE). The results showed that CLAHE give the best results, with the parameter value Nbins 256 and Distribution Rayleigh with MSE value 9744.80 and PSNR value 8.284150.

Copyrights © 2017






Journal Info

Abbrev

TELKOMNIKA

Publisher

Subject

Computer Science & IT

Description

Submitted papers are evaluated by anonymous referees by single blind peer review for contribution, originality, relevance, and presentation. The Editor shall inform you of the results of the review as soon as possible, hopefully in 10 weeks. Please notice that because of the great number of ...