Technology of Graphic & Image
|
App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 1
299-302

Salt and pepper noise filtering algorithm for X-ray images with multi-level classification and fuzzy filtering

Yuan Guixia1
Zhou Xianchun2
1. School of Information & Mechanical Electrical Engineering, Jiangsu Open University, Nanjing 210017, China
2. School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
DOI: 10.19734/j.issn.1001-3695.2017.07.0892

Abstract

In order to solve the problem that the current salt and pepper noise filtering algorithms for X-ray images are ineffective and low efficiency, this paper proposed a salt and pepper filtering algorithm with multi-level classification and adaptive fuzzy filtering, which included two parts, such as pixels' multi-level classification and adaptive fuzzy filtering. In the process of multi-level classification, it designed a rapid rough classification according to priori knowledge, to divide the pixels into three categories: salt and pepper noise, signal and suspicious noise. For the suspicious noise, it extracted the histogram distribution features in the region, and designed the BP neural network classifier to classify the pixels, and finally classified all the pixels in the image into two kinds of signal and salt and pepper noise. In the process of adaptive fuzzy filtering, it created fuzzy membership function for three fuzzy sets, and calculated fuzzy membership value, and restored pixel brightness by fuzzy weighted summing. The experimental results show that the new method has high accuracy of pixel classification, high peak signal to noise ratio of filtered image, and less average time-consuming of filtering.

Foundation Support

国家自然科学基金资助项目(11202106,61201444)
江苏省高校自然科学研究面上基金资助项目(15KJD520003)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.07.0892
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 1
Section: Technology of Graphic & Image
Pages: 299-302
Serial Number: 1001-3695(2019)01-069-0299-04

Publish History

[2019-01-05] Printed Article

Cite This Article

袁桂霞, 周先春. 基于分类和模糊滤波的X光图像椒盐噪声滤除算法 [J]. 计算机应用研究, 2019, 36 (1): 299-302. (Yuan Guixia, Zhou Xianchun. Salt and pepper noise filtering algorithm for X-ray images with multi-level classification and fuzzy filtering [J]. Application Research of Computers, 2019, 36 (1): 299-302. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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