Multispectral Image Segmentation Using Parallel Mean Shift Algorithm and CUDA Technology

被引：0
|
作者：
Zghidi, Hafedh [1 ]
Walczak, Maksym [1 ]
Switonski, Adam [1 ]
机构：
[1] Silesian Tech Univ, Ul Akad 16, PL-44100 Gliwice, Poland
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2015 (ICNAAM-2015) | 2016年 / 1738卷
关键词：
Multispectral imaging; Image segmentation; Mean Shift; Parallel algorithm; CUDA;
D O I：
10.1063/1.4952330
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
We present a parallel mean shift algorithm running on CUDA and its possible application in segmentation of multispectral images. The aim of this paper is to present a method of analyzing highly noised multispectral images of various objects, so that important features are enhanced and easier to identify. The algorithm finds applications in analysis of multispectral images of eyes so that certain features visible only in specific wavelengths are made clearly visible despite high level of noise, for which processing time is very long.
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页数：4
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