Comparative Study of Noise Removal Algorithms For Denoising Medical Image Using LabVIEW

被引：4

作者：

Satpathy, Sambit ^{[1
]}

Pradhan, Mohan Chandra ^{[1
]}

Sharma, Subrat ^{[1
]}

机构：

[1] Sambalpur Univ, Dept Embedded Syst Design, Inst Informat Technol, Burla, India

来源：

2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (CICN) | 2015年

关键词：

Gaussian noise; Salt & Pepper noise; Gaussian filter; Gabor filter; Box filter; Median filter; Adaptive noise filter; PSNR ratio;

D O I：

10.1109/CICN.2015.67

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Biomedical images are generally tainted by Gaussian noise, Salt & Pepper noise. Gaussian noises are additive where as salt & pepper noises are itself as separately occurring white & black pixels. This paper presents the study of five types of filters like Gaussian filter, Gabor filter, Box filter, Median filter, Adaptive median filter, which are design using LabView. These filters are used for removing of two type of noises like Gaussian noise, Salt & Pepper noise. Then respective PSNR value has been found out which is used for the comparative analysis of the filter.

引用

页码：300 / 305

页数：6

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