دورية أكاديمية

A Modified GrabCut Using a Clustering Technique to Reduce Image Noise

التفاصيل البيبلوغرافية
العنوان: A Modified GrabCut Using a Clustering Technique to Reduce Image Noise
المؤلفون: GangSeong Lee, SangHun Lee, GaOn Kim, JongHun Park, YoungSoo Park
المصدر: Symmetry, Vol 8, Iss 7, p 64 (2016)
بيانات النشر: MDPI AG, 2016.
سنة النشر: 2016
المجموعة: LCC:Mathematics
مصطلحات موضوعية: median filter, K-means, image clustering, GraphCut, GrabCut, object segmentation, Mathematics, QA1-939
الوصف: In this paper, a modified GrabCut algorithm is proposed using a clustering technique to reduce image noise. GrabCut is an image segmentation method based on GraphCut starting with a user-specified bounding box around the object to be segmented. In the modified version, the original image is filtered using the median filter to reduce noise and then the quantized image using K-means algorithm is used for the normal GrabCut method for object segmentation. This new process showed that it improved the object segmentation performance a lot and the extract segmentation result compared to the standard method.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2073-8994
Relation: http://www.mdpi.com/2073-8994/8/7/64; https://doaj.org/toc/2073-8994
DOI: 10.3390/sym8070064
URL الوصول: https://doaj.org/article/4893ffceff524e05899b12b740a401d1
رقم الأكسشن: edsdoj.4893ffceff524e05899b12b740a401d1
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20738994
DOI:10.3390/sym8070064