Title: Enhancement of low quality blood smear image using contrast and edge corrections

Authors: Umi Salamah; Riyanarto Sarno; Agus Zainal Arifin; Anto Satriyo Nugroho; Ismail Ekoprayitno Rozi; Puji Budi Setia Asih

Addresses: Informatics Department, Institut Teknologi Sepuluh Nopember, Campus ITS Sukolilo, Surabaya, 60111, Indonesia; Informatics Department, Universitas Sebelas Maret, Campus Kentingan, Surakarta, 57126, Indonesia ' Informatics Department, Institut Teknologi Sepuluh Nopember, Campus ITS Sukolilo, Surabaya, 60111, Indonesia ' Informatics Department, Institut Teknologi Sepuluh Nopember, Campus ITS Sukolilo, Surabaya, 60111, Indonesia ' Center for Information and Communication Technology Agency for the Assessment and Application of Technology (PTIK-BPPT), Jalan M.H. Thamrin, No. 8, Jakarta, 10340, Indonesia ' Eijkman Institute for Molecular Biology, Jalan Diponegoro, No. 69, Jakarta, 10430, Indonesia ' Eijkman Institute for Molecular Biology, Jalan Diponegoro, No. 69, Jakarta, 10430, Indonesia

Abstract: A blood smear is one of the medical images that widely used to disease diagnosis. A low-quality of smear that produced by poor microscopy specification complicates the reading of the feature. The characteristics are blurred, diminished true colour of object, unclear boundary and low contrast between object and background. In this study, we propose new enhancement strategy through edge correction based on dual contrast enhancement to improve the readability of the features in the low quality of blood smear image. Dual contrast enhancement utilises the integration of contrast correction globally and locally, while edge correction uses unsharp masking filtering to improve the object edge. The experiments are performed on three diseases images. The results show that the proposed method achieves best entropy and pretty good on MSE and PSNR, so it can produce images contained more information than the other methods and had a good effectiveness.

Keywords: enhancement; low quality; blood smear; contrast; edge; correction; unclear boundary; readability feature.

DOI: 10.1504/IJBET.2020.112422

International Journal of Biomedical Engineering and Technology, 2020 Vol.34 No.4, pp.354 - 376

Received: 21 Jul 2017
Accepted: 20 Nov 2017
Published online: 15 Jan 2021 *

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