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C_AssesSeg Concurrent Computing Version of AssesSeg: A Benchmark Between the New and Previous Version

机译:C_AssesSeg并行计算版本的AssesSeg:新版本和旧版本之间的基准

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This paper presents the capabilities of a command line tool (.exe) created to assess the quality of segmented digital images. The executable source code, called AssesSeg (Assess Segmentation), was written in Python 2.7 using only open source libraries. AssesSeg implements a modified version of the supervised discrepancy measure named Euclidean Distance 2 (ED2) and was tested on different satellite images (Sentinel-2, Landsat 8, World View-2 and WorldView-3). The segmentation was applied to plastic covered greenhouse detection in the south of Spain (Almeria). AssesSeg 2.0 was compared with the previous version computing time. The comparisons showed how the new version can benefit from modern multi-core CPU.
机译:本文介绍了用于评估分段数字图像质量的命令行工具(.exe)的功能。可执行文件源代码称为AssesSeg(资产细分),仅使用开放源代码库以Python 2.7编写。 AssesSeg实现了监督差异度量的改进版本,称为欧氏距离2(ED2),并在不同的卫星图像(Sentinel-2,Landsat 8,World View-2和WorldView-3)上进行了测试。该细分应用于西班牙南部(阿尔梅里亚省)的塑料盖温室检测。将AssesSeg 2.0与以前版本的计算时间进行了比较。比较显示了新版本如何从现代多核CPU中受益。

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