The evaluation of denoising techniques on microscopic blood smear images of Acute Lymphoblastic Leukemia (ALL)
Department of Information Technology, University of Mumbai, India.
Review
Open Access Research Journal of Engineering and Technology, 2023, 04(02), 024–035.
Article DOI: 10.53022/oarjet.2023.4.2.0060
Publication history:
Received on 15 April 2023; revised on 25 May 2023; accepted on 28 May 2023
Abstract:
Preprocessing is the first step in the image processing for any digital image before it goes further step. Denoising techniques are one of the important techniques used in preprocessing. The digitized microscopic blood smear image contains unwanted noise due to poor illumination, electronic interference, different variation in lighting condition etc. The processing of these images without the filtering techniques, can produce inaccurate results in the further step of image processing such as segmentation, feature extraction and classification. So, it is necessary to preprocess the images with proper techniques for each type of preprocessing. In this paper, we have tried to evaluate the different types of the filtering techniques on the blood smear images of Acute Lymphoblastic Leukemia (ALL) for the removal of noise. We have reviewed many research work which have used various filtering techniques used for removal of noise.
Keywords:
Acute Lymphoblastic Leukemia; White Blood Cells; Myelogenous; Median Filter; Gaussian filter; Wiener filter; Average filter; Bilateral filter
Full text article in PDF:
Copyright information:
Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0