Paper Title:
Comparative Study on Filter Methods of Medical Ultrasound Images
  Abstract

This paper presents a comparative study on six despeckling methods such as modified hybrid median filter, gabor filter, speckle reducing anisotropic diffusion, homomorphic filter, non-local mean filter and squeeze box filter. We select eight objective evaluation parameters, such as signal-to-ratio, contrast signal–to–noise ratio, figure of merit, least absolute error, peak signal-to-noise ratio, edge protection factor, quantitative parameters of despeckling, signal-to-minimum mean square error ratio, to quantify the performance of these filters. The comparative study will provide a good guidance for selecting a suitable filter in the ultrasound image processing.

  Info
Periodical
Advanced Materials Research (Volumes 341-342)
Edited by
Liu Guiping
Pages
467-471
DOI
10.4028/www.scientific.net/AMR.341-342.467
Citation
R. X. Ma, X. M. Zhang, M. Y. Ding, Q. Liu, "Comparative Study on Filter Methods of Medical Ultrasound Images", Advanced Materials Research, Vols. 341-342, pp. 467-471, 2012
Online since
September 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Xiao Si Zhan, Ya Yun Chu
Chapter 9: System Design and Optimization
Abstract:Enhancing low-quality fingerprint image is the effective method for improving the accuracy of minutia extraction and performance of the...
596
Authors: Ji Guang Liu, Hai Yang Wang
Chapter 7: Other Related Topics
Abstract:This paper introduces a kind of fuzzy adaptive filtering algorithm. The whole process is divided into four steps. Plenty experimental...
1733
Authors: Gai Hua Wang, De Hua Li, Tong Zhou Zhao
Chapter 2: Signal Processing and Measurement
Abstract:New impulse detection and filtering algorithm is proposed in color images. Based on fast peer group filter, the proposed filtering algorithm...
116
Authors: Qian Xiao
Chapter 10: Sound, Noise and Vibration Control
Abstract:Due to the fact that it is not easy to filter out the spectrum overlap noise between noisy signal and noise by using the traditional wavelet...
2521
Authors: Q.Q. Li, C.S. Zhou, X.Q. Lv, H.Y. Yang, K. Zhang
Chapter 4: Applied Mathematics, Computational Methods and Algorithms, Data, Image and Signal Processing, Identification
Abstract:Due to the diversity and complexity of design patent images, it is difficult to retrieve well if extracting features from images directly. A...
503