Ultrasound Image Enhancement Using An Adaptive Anisotropic Diffusion Filter

2014 ◽  
Author(s):  
Yassine Toufique ◽  
Othmane Bouhali
Keyword(s):  
Image Enhancement ◽  
Anisotropic Diffusion ◽  
Ultrasound Image ◽  
Diffusion Filter ◽  
Anisotropic Diffusion Filter

Ultrasound image enhancement using an adaptive anisotropic diffusion filter

2014 ◽  
Author(s):  
Y. Toufique ◽  
R. Cherkaoui El Moursli ◽  
Lh. Masmoudi ◽  
A. El Kharrim ◽  
M. Kaci ◽  
...  
Keyword(s):  
Image Enhancement ◽  
Anisotropic Diffusion ◽  
Ultrasound Image ◽  
Diffusion Filter ◽  
Anisotropic Diffusion Filter

Weighted Image Averaging Based Anisotropic Diffusion Denoising Method for Ultrasound Thyroid Image

2020 ◽  
Vol 10 (2) ◽  
pp. 380-390
Author(s):  
Haiyue Zhang ◽  
Daoyun Xu ◽  
Yongbin Qin
Keyword(s):  
Thyroid Disease ◽  
Anisotropic Diffusion ◽  
Averaging Method ◽  
Ultrasound Image ◽  
Speckle Noise ◽  
Denoising Method ◽  
Weighted Image ◽  
Diffusion Filter ◽  
Anisotropic Diffusion Filter ◽  
Image Averaging

Thyroid disease is a frequent occurrence in clinical practice and the computerized analysis of ultrasonography has been becoming the most prospective tool for thyroid disease automatic diagnosis. However, the accuracy of vision-based diagnostic analysis is often reduced because the quality of ultrasound image is easily corrupted by the speckle noise. Thus, noise suppression is imperative and significant for the thyroid ultrasonography image preprocessing to increase the reliability of subsequent analysis. In this paper, we propose a novel weighted image averaging method based on anisotropic diffusion filters combination to remove speckle noise and enhance the details of the image at the same time. The method first denoises the image separately by two filters with different performances. The speckle reducing anisotropic diffusion filter can enhance the details of the image, and the anisotropic diffusion filter can better suppress the speckle noise in the image. In order to integrate the advantages of the two filters and reduce the mutual interference meanwhile, an adaptive weighted image averaging method is further proposed to combine the pixels of the two denoised images. The experimental results indicate that the proposed method can achieve promising performance on the template images with various noise levels by considering PSNR and SSIM. What's more, it is not only superior to other methods in automatic segmentation, but also can obtain better visual effect for thyroid images.

scholarly journals Fuzzy Based Adaptive Anisotropic Diffusion Despeckling Filter

2019 ◽  
Vol 9 (2) ◽  
pp. 2519-2522
Keyword(s):  
Anisotropic Diffusion ◽  
Multiplicative Noise ◽  
Ultrasound Image ◽  
Visual Quality ◽  
Speckle Noise ◽  
Structure And Function ◽  
Diffusion Filter ◽  
Anisotropic Diffusion Filter ◽  
And Function

Echocardiography is an ultrasound of the heart for the assessment of cardiac structure and function. Images obtained from the ultrasound suffer from a speckle Noise. Speckle is an inherent multiplicative noise which affects the visual perception by discriminating the fine details in the echocardiography. Speckle removal is important step to improve the visual quality of the echocardiography for better diagnosis. Anisotropic diffusion is one of the popular techniques to despeckle the ultrasound image in recent times. In this paper, we propose a fuzzy based adaptive anisotropic diffusion despeckling filter to despeckle echocardiography ultrasound image. The results show that fuzzy diffusion when combined with adaptive anisotropic diffusion filter gives better performance compared with existing despeckling filters

Improved Geometric Anisotropic Diffusion Filter for Radiography Image Enhancement

2018 ◽  
Vol 24 (2) ◽  
pp. 231-240
Author(s):  
Mohamed Ben Gharsallah ◽  
Issam Ben Mhammed ◽  
Ezzedine Ben Braiek
Keyword(s):  
Image Enhancement ◽  
Anisotropic Diffusion ◽  
Diffusion Filter ◽  
Anisotropic Diffusion Filter
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