کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
530494 869770 2010 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Enabling scalable spectral clustering for image segmentation
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Enabling scalable spectral clustering for image segmentation
چکیده انگلیسی

Spectral clustering has become an increasingly adopted tool and an active area of research in the machine learning community over the last decade. A common challenge with image segmentation methods based on spectral clustering is scalability, since the computation can become intractable for large images. Down-sizing the image, however, will cause a loss of finer details and can lead to less accurate segmentation results. A combination of blockwise processing and stochastic ensemble consensus are used to address this challenge. Experimental results indicate that this approach can preserve details with higher accuracy than comparable spectral clustering image segmentation methods and without significant computational demands.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 43, Issue 12, December 2010, Pages 4069–4076
نویسندگان
, , ,