کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
530477 869769 2014 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Interactive image segmentation via kernel propagation
ترجمه فارسی عنوان
تقسیم بندی تصاویر تعاملی از طریق انتشار هسته
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی


• Interactive image segmentation with kernel propagation.
• Segmentation based on seed-kernel matrix learning.
• Effectively propagate user׳s interactive information into entire image.
• Successfully maintain data-coherence.

In this paper, we propose a new approach to interactive image segmentation via kernel propagation (KP), called KP Cut. The key to success in interactive image segmentation is to preserve characteristics of the user׳s interactive input and maintain data-coherence effectively. To achieve this, we employ KP which is very effective in propagating the given supervised information into the entire data set. KP first learns a small-size seed-kernel matrix, and then propagates it into a large-size full-kernel matrix. It is based on a learned kernel, and thus can fit the given data better than a predefined kernel. Based on KP, we first generate a small-size seed-kernel matrix from the user׳s interactive input. Then, the seed-kernel matrix is propagated into the full-kernel matrix of the entire image. During the propagation, foreground objects are effectively segmented from background. Experimental results demonstrate that KP Cut effectively extracts foreground objects from background, and outperforms the state-of-the-art methods for interactive image segmentation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 47, Issue 8, August 2014, Pages 2745–2755
نویسندگان
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