Image histogram and FFT based critical study on noise in fluorescence microscope images

Abed Alrahman Mkayes, N. Saad, I. Faye, N. Walter
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引用次数: 5

Abstract

The immune system is a complex network of highly specialized cells (such as lymphocytes) and organs. All of these cells work together to reduce infection (antigens) such as bacteria, virus or tumor cell from the body. Biologic Response Modifiers (BRM) also known as immunotherapy, is a type of treatment which mobilizes and triggers the immune system of the body. This research work provides a description of noise nature of immunofluorescence microscope images. Thus, the study leads to determine the type of noise and choose the filter which best fit the noise presented in fluorescence microscope images. Image histogram and Fast Fourier Transform (FFT) have been applied on blood samples. However, the results show that the Gaussian noise is found in this kind of images. CLAHE filter has been applied to these images. The results obtained from CLAHE demonstrate the ability for this filter to deal with this kind of images.
基于图像直方图和FFT的荧光显微镜图像噪声关键研究
免疫系统是由高度特化的细胞(如淋巴细胞)和器官组成的复杂网络。所有这些细胞一起工作,减少感染(抗原),如细菌,病毒或肿瘤细胞从体内。生物反应调节剂(Biologic Response Modifiers, BRM)也被称为免疫疗法,是一种调动和触发人体免疫系统的治疗方法。本研究工作对免疫荧光显微镜图像的噪声性质进行了描述。因此,该研究导致确定噪声的类型,并选择最适合荧光显微镜图像中的噪声的滤波器。将图像直方图和快速傅里叶变换(FFT)应用于血液样本。然而,结果表明,在这类图像中存在高斯噪声。对这些图像进行了CLAHE滤波。CLAHE实验结果证明了该滤波器处理此类图像的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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