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Journal of Medical Signals and Sensors، جلد ۴، شماره ۱، صفحات ۷۲-۰
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
An Optimal PDEs-based denoising in medical image processing |
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| چکیده انگلیسی مقاله |
Improving the quality of medical images at pre and post-surgery operations are necessary for beginning and speeding up the recovery process. Partial differential equations (PDEs)-based models have become a powerful and well known tool in different areas of image processing such as denoising, multiscale image analysis, edge detection and other fields of image processing and computer vision. In this paper, an algorithm for medical image denoising using anisotropic diffusion filter with a convenient stopping criterion is presented. In this regard, the current paper introduces two strategies: utilizing the efficient explicit method due to its advantages with presenting impressive software technique to effectively solve the anisotropic diffusion filter which is mathematically unstable, proposing an automatic stopping criterion, that takes into consideration just input image, as opposed to other stopping criteria, besides the quality of denoised image, easiness and time. Various medical images are examined to confirm the claim. |
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| کلیدواژه‌های انگلیسی مقاله |
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| نویسندگان مقاله |
مریم خانیان | maryam khanian
آوات فیضی | awat feizi
علی داوری | ali davari
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| نشانی اینترنتی |
http://www.jmss.mui.ac.ir/index.php/jmss/article/view/151 |
| فایل مقاله |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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| نوع مقاله منتشر شده |
Original Articles |
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