Genetic Algorithm and Fisher Discriminant Analysis based Wavelet Thresholding for Speckle Noise Filtering in Ultrasound Images
نویسندگان
چکیده
منابع مشابه
Speckle Noise Reduction in Ultrasound Images by Wavelet Thresholding
Medical practitioners are increasingly using digital images during disease diagnosis several state-of-the-art medical equipments are producing images of different organs, which are used during various stages of analysis. Examples of such devices include MRI, CT, ultrasound and X-Ray. In medical image processing, image denoising has become a very essential exercise all through the diagnose becau...
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Optimizing threshold value of wavelet coefficient is an important task in speckle noise reduction in the wavelet domain. Without proper selection of threshold value image information may be lost, which is unwanted. In this paper we proposed optimum threshold parameter using Fisher Discriminant Analysis (FDA) for determining the optimum threshold value of wavelet coefficient for the best speckle...
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Speckle noise is undesired result which appear during the image formation process in that is most typically known to occur in the coherent imaging systems for example ultrasound imaging, sonar, lasers, synthetic aperture radar and many more. So the presence of speckle in ultrasound imaging system results in decrease in quality of image and it become quite difficult for human to diagnose and int...
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BACKGROUND AND PURPOSE Ultrasound imaging is a very essential technique in medical diagnosis due to its being safe, economical and non-invasive nature. Despite its popularity, the US images, however, are corrupted with speckle noise, which reduces US images qualities, hampering image interpretation and processing stage. Hence, there are many efforts made by researches to formulate various despe...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2021
ISSN: 0975-8887
DOI: 10.5120/ijca2021921231