Identification of Suitable Contrast Enhancement Technique for Improving the Quality of Astrocytoma Histopathological Images
Dzulkifli, Fahmi Akmal (University Malaysia Perlis. School of Mechatronic Engineering)

Date:	2021
Abstract:	Contrast enhancement plays an important part in image processing. In histology, the application of a contrast enhancement technique is necessary since it can help pathologists in diagnosing the sample slides by increasing the visibility of the morphological and features of cells in an image. Various image enhancement techniques have been proposed to enhance the contrast of microscopic images. Thus, this paper aims to study the effectiveness of contrast enhancement techniques in improvingthe quality of astrocytoma histopathological images. An automated image enhancement method was proposed by using three different contrast enhancement techniques. These techniques consist of contrast stretching, histogram equalization, and CLAHE techniques. Thirty histopathological images of astrocytoma are used to perform tests. The performance and the quality of each enhanced image produced from each technique were compared by computing ten quantitative measures. This study shows only contrast stretching and CLAHE techniques are suitable for the use of enhancing the quality of astrocytoma images.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Astrocytoma ; Automated Image Enhancement ; CLAHE ; Contrast Enhancement ; Contrast Stretching ; Histogram Equalization ; Ki67
Published in:	ELCVIA. Electronic letters on computer vision and image analysis, Vol. 20 Núm. 1 (2021) , p. 84-98 (Regular Issue) , ISSN 1577-5097

Adreça original: https://elcvia.cvc.uab.es/article/view/v20-n1-dzulkifli
Adreça original: https://elcvia.cvc.uab.cat/article/view/v20-n1-dzulkifli
Adreça alternativa: https://raco.cat/index.php/ELCVIA/article/view/v20-n1-dzulkifli
DOI: 10.5565/rev/elcvia.1256

15 p, 1.2 MB

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