کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4970186 1450033 2017 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Phase based distance regularized level set for the segmentation of ultrasound kidney images
ترجمه فارسی عنوان
سطح مقطع فاصله فاز برای تنظیم تقسیم تصاویر کلیوی اولتراسوند تنظیم شده است
کلمات کلیدی
ویژگی محلی، سیگنال منوژنیک، عملکرد کوشی، مجموعه مقطع سطح مقرر،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
Segmentation of ultrasound images has been considered as a challenging task due to its low contrast characteristics. Expert's manual segmentation not only relies on just intensity information available with the image because human vision system roughly relies on intensity but at the same time, it reads local information too. Hence, an attempt has been made, where local properties such as phase, energy and amplitude were extracted from the gray scale image using monogenic signals. Here, the monogenic signals were constructed using Cauchy functions rather than traditional Log Gabor function. Active contour based segmentation that incorporates distance regularized level set evolution concept has been used to segment the region of interest on the local information based image i.e Phase Based Distance Regularized Level Set. Proposed method utilizes local phase and feature asymmetry in achieving the objective. Robustness of the proposed method is demonstrated with the quantitative metrics such as Dice Similarity Coefficient (DSC) index, Hausdorff Distance (HD) and Mean Absolute Deviation (MAD) measures. Proposed method is compared quantitatively with the intensity based Distance Regularized Level Set Evolution (DRLSE), with Geodesic Active Contour (GAC) and with the variant of the proposed method that uses Log Gabor filter bank instead of Cauchy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 86, 15 January 2017, Pages 9-17
نویسندگان
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