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基于在方形格网上设计的虚拟六边形滤波器(VHF)的白细胞单通道图像增强(SCIE)

Single Channel Image Enhancement (SCIE) of White Blood Cells Based on Virtual Hexagonal Filter (VHF) Designed over Square Trellis.

作者信息

Rasheed Shahid, Raza Mudassar, Sharif Muhammad, Kadry Seifedine, Alharbi Abdullah

机构信息

Department of Computer Science, COMSATS University Islamabad, Wah Campus, Islamabad 47040, Pakistan.

Department of Applied Data Science, Noroff University College, 4612 Kristiansand, Norway.

出版信息

J Pers Med. 2022 Jul 28;12(8):1232. doi: 10.3390/jpm12081232.

DOI:10.3390/jpm12081232
PMID:36013181
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9410214/
Abstract

White blood cells (WBCs) are the important constituent of a blood cell. These blood cells are responsible for defending the body against infections. Abnormalities identified in WBC smears lead to the diagnosis of disease types such as leukocytosis, hepatitis, and immune system disorders. Digital image analysis for infection detection at an early stage can help fast and precise diagnosis, as compared to manual inspection. Sometimes, acquired blood cell smear images from an L2-type microscope are of very low quality. The manual handling, haziness, and dark areas of the image become problematic for an efficient and accurate diagnosis. Therefore, WBC image enhancement needs attention for an effective diagnosis of the disease. This paper proposed a novel virtual hexagonal trellis (VHT)-based image filtering method for WBC image enhancement and contrast adjustment. In this method, a filter named the virtual hexagonal filter (VHF), of size 3 × 3, and based on a hexagonal structure, is formulated by using the concept of the interpolation of real and square grid pixels. This filter is convolved with WBC ALL-IBD images for enhancement and contrast adjustment. The proposed filter improves the results both visually and statically. A comparison with existing image enhancement approaches proves the validity of the proposed work.

摘要

白细胞(WBCs)是血细胞的重要组成部分。这些血细胞负责保护身体免受感染。白细胞涂片检查中发现的异常可导致对诸如白细胞增多症、肝炎和免疫系统疾病等疾病类型的诊断。与人工检查相比,用于早期感染检测的数字图像分析有助于快速、精确的诊断。有时,从L2型显微镜获取的血细胞涂片图像质量非常低。图像的人工处理、模糊度和暗区对于高效、准确的诊断来说是个问题。因此,为了有效诊断疾病,白细胞图像增强需要引起关注。本文提出了一种基于新型虚拟六边形网格(VHT)的图像滤波方法,用于白细胞图像增强和对比度调整。在该方法中,利用实网格像素和方形网格像素的插值概念,构建了一种尺寸为3×3、基于六边形结构的滤波器,称为虚拟六边形滤波器(VHF)。该滤波器与白细胞ALL-IBD图像进行卷积,以实现增强和对比度调整。所提出的滤波器在视觉和静态方面都改善了结果。与现有图像增强方法的比较证明了所提工作的有效性。

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Improved Otsu and Kapur approach for white blood cells segmentation based on LebTLBO optimization for the detection of Leukemia.基于 LebTLBO 优化的改进 Otsu 和 Kapur 方法在白血病检测中的白细胞分割。
Math Biosci Eng. 2022 Jan;19(2):1970-2001. doi: 10.3934/mbe.2022093. Epub 2021 Dec 23.
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Kupffer Cell Hyaline Globules in Children With Autoimmune Hepatitis.自身免疫性肝炎患儿的库普弗细胞透明小球
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New segmentation and feature extraction algorithm for classification of white blood cells in peripheral smear images.
外周血涂片白细胞分类的新分割与特征提取算法。
Sci Rep. 2021 Sep 30;11(1):19428. doi: 10.1038/s41598-021-98599-0.
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