کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
411555 679573 2016 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An efficient level set method based on multi-scale image segmentation and hermite differential operator
ترجمه فارسی عنوان
یک روش سطح کارآمد بر اساس تقسیم بندی تصویر چند منظوره و اپراتور دیفرانسیل هرمیت
کلمات کلیدی
اپراتور دیفرانسیل هرمیت تقسیم بندی تصویر، ناهمگنی شدت، سطح تنظیم، چند مقیاس
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

In this paper, an efficient and robust level set method is presented to segment the images with intensity inhomogeneity. The multi-scale segmentation idea is incorporated into energy functional construction and a new Hermite differential operator is designed to numerically solve the level set evolution equation. Firstly, the circular shape window is used to define local region so as to approximate the image as well as intensity inhomogeneity. Then, multi-scale statistical analysis is performed on intensities of local circular regions centered in each pixel. So, the multi-scale local energy term can be constructed by fitting multi-scale approximation of inhomogeneity-free image in a piecewise constant way. To avoid the time-consuming re-initialization procedure, a new double-well potential function is adopted to construct the penalty energy term. Finally, the multi-scale segmentation is performed by minimizing the total energy functional. Here, a new differential operator based on Hermite polynomial interpolation is proposed to solve the minimization. The experiments and comparisons with three popular local region-based methods on images with different levels of intensity inhomogeneity have demonstrated the efficiency and robustness of the proposed method.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 188, 5 May 2016, Pages 90–101
نویسندگان
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