کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
533330 870100 2013 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Level set evolution with locally linear classification for image segmentation
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Level set evolution with locally linear classification for image segmentation
چکیده انگلیسی

This paper presents a novel local region-based level set model for image segmentation. In each local region, we define a locally weighted least squares energy to fit a linear classifier. With level set representation, these local energy functions are then integrated over the whole image domain to develop a global segmentation model. The objective function in this model is thereafter minimized via level set evolution. In this process, the parameters related to the locally linear classifier are iteratively estimated. By introducing the locally linear functions to separate background and foreground in local regions, our model not only achieves accurate segmentation results, but also is robust to initialization. Extensive experiments are reported to demonstrate that our method holds higher segmentation accuracy and more initialization robustness, compared with the classical region-based and local region-based methods.


► Develop a novel level set model for image segmentation.
► Define a locally weighted least squares energy to fit a linear classifier.
► Introduce a discriminative model to level set framework.
► Demonstrate its superior in terms of accuracy and robustness.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 46, Issue 6, June 2013, Pages 1734–1746
نویسندگان
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