کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1139585 | 956681 | 2011 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The Lee–Seo model with regularization term for bimodal image segmentation
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: The Lee–Seo model with regularization term for bimodal image segmentation The Lee–Seo model with regularization term for bimodal image segmentation](/preview/png/1139585.png)
چکیده انگلیسی
In this paper, we improve Lee–Seo’ bimodal image segmentation model using a regularization term. This regularization term will maintain the smoothness of the level set function and decrease the level set function’ oscillations around the desired steady state when the noise level is lager. Furthermore, we also provide a rigorous study of the modified model. Based on techniques in calculus of variations, the existence of solutions of the modified model in BV space is established. Based on the theory we present (see Lemma 2 and Lemma 3), we constructed a fast convergent algorithm to process images. It turns out our method is twice fast in processing an image than Lee–Seo’s algorithm with the same constant value initial level set function.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mathematics and Computers in Simulation - Volume 81, Issue 12, August 2011, Pages 2608–2616
Journal: Mathematics and Computers in Simulation - Volume 81, Issue 12, August 2011, Pages 2608–2616
نویسندگان
Qiao Xin, Chunlai Mu, Meng Li,