کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
848706 1470602 2015 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Local average fitting active contour model with thresholding for noisy image segmentation
ترجمه فارسی عنوان
میانگین کانونی محلی با مدل کنترلی فعال با آستانه ای برای تقسیم بندی تصویر پر سر و صدا
کلمات کلیدی
مدل کنتور فعال، روش متوسط ​​محله آستانه، تصاویر پر سر و صدا، تقسیم بندی تصویر
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی (عمومی)
چکیده انگلیسی

In this paper, an active contours model using neighborhood average fitting with thresholding is proposed for noisy images segmentation. Energy of the proposed model is formulated according to the difference between the local average and global region information. For images corrupted by noise, the neighborhood average method is capable of denoising at the expense of blurring images to some extent. However, problems that appear with average method can be settled by thresholding in this work. Minimization of the energy associated with the active contour model is then implemented in a variational level set framework. Moreover, to eliminate the need for costly re-initialization procedure, a reaction-diffusion method is adopted to regularize the level set function for stability. Experimental results on synthetic and real images validate the effectiveness of the proposed approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optik - International Journal for Light and Electron Optics - Volume 126, Issues 9–10, May 2015, Pages 1021–1026
نویسندگان
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