Parallel Implementation of Segmentation Algorithms on Graphics Processing Unit

被引：0

作者：

Yenialp, Erdal ^{[1
]}

Kalkan, Habil ^{[1
]}

机构：

[1] Suleyman Demirel Univ, Bilgisayar Muhendisligi Bolumu, Vis Image Proc & Pattern Recognit Lab VIPLAB, TR-32200 Isparta, Turkey

来源：

2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2013年

关键词：

Parallel programming; cuda; dbscan; k-means; k-centers; segmentation;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Segmentation algorithms are widely used in image processing. These methods have different complexity values and the choice of reasonable methods decreases on large images. Especially on the medical images with large size, it may take days to perform segmentation in some methods. However, parallel implementation may eliminate the drawback of these algorithms to some extent. In this study, we propose to implement segmentation algorithms in parallel using Graphical Processing Unit. Using the proposed implementation, the computation time of the K-centers, K-means and DBSCAN algorithms were decreases 87, 642 and 2 times, respectively.

引用

页数：4

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