Wavelet Based Medical Image Denoising Technique Based on Neural Network

被引：0

作者：

Pradeep, S. ^{[1
]}

Ribana, K. ^{[1
]}

机构：

[1] M Kumarsamy Coll Engn, Dept Elect & Commun Engn, Karur 639113, Tamil Nadu, India

来源：

BIOSCIENCE BIOTECHNOLOGY RESEARCH COMMUNICATIONS | 2018年 / 11卷 / 02期

关键词：

DENOSIE; MEDICAL IMAGE; NEURAL NETWORKS; THRESHOLDING; WAVELET TRANSFORM;

D O I：

暂无

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

This paper is based on the wavelet based transform technique and multi scaling technique. The rippling basis perform employed in this methodology has reconciling characteristics. To differentiate it from the standard rippling, we tend to decision it based on mathematical definition in different scale coefficients. The time domain information is insufficient as compared to the frequency domain information. Fourier transform does the periodic windowing techniques. Wavelet could be Meyer, Morlet, Haar, Daubechies-4, Mexican-Hat, gives qualitative scaling.

引用

页码：82 / 87

页数：6

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