کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
453688 694993 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Adaptive fractional differential approach and its application to medical image enhancement
ترجمه فارسی عنوان
رویکرد دیفرانسیل تقریبا سازگار و کاربرد آن در بهبود تصویر پزشکی
کلمات کلیدی
اختلاف جزئی سازگاری بهبود تصویر پزشکی، شیب، اتو، سفارش
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی


• We use the improved Otsu algorithm to segment medical images.
• The function of order v is constructed based on the features of image areas.
• The fractional differential order of each pixel is obtained by the function.
• Each pixel of medical image is processed by adaptive fractional differential mask.
• The edge of medical image is enhanced while the weak texture is preserved.

This paper presents a new medical image enhancement method that adjusts the fractional order according to the dynamic gradient feature of the entire image. The presented method can extract the edges of an image accurately and enhance them while preserving smooth areas and weak textures; these improvements can be particularly helpful to doctors’ diagnoses. The primary contribution of this paper is the Adaptive Fractional Differential Algorithm (AFDA), which uses the improved Otsu algorithm to segment the edges, textures and smooth areas of images. This algorithm allows the optimal fractional order of each pixel to be obtained using an adaptive fractional differential function constructed based on the area feature of image. As a result, the image can be enhanced adaptively. Experimental results show that for medical images, AFDA shows better image enhancement than other methods by making edges clearer and textures richer.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Electrical Engineering - Volume 45, July 2015, Pages 324–335
نویسندگان
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