加速欧拉特征分析:采用八象素模式和离散块提取的多处理方法

IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
César Eduardo Muñoz-Chávez, Hermilo Sánchez-Cruz
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引用次数: 0

摘要

我们介绍了一个旨在简化欧拉特性分析的新程序库。该程序解决了生成三维测试对象的困难和提取八象素模式的复杂性。该程序库采用一种新方法,通过有效的多进程处理,快速生成数据并提取描述符。此外,我们还开发了一种从图像中提取离散 CHUNKS 的方法,允许进行单独的多重处理评估。这种方法加快了组合提取的过程,为研究人员在各种应用中探索欧拉特征提供了一种快速有效的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accelerating Euler characteristic analysis: A multiprocessing approach with Octo-Voxel patterns and discrete chunk extraction

We present a new library designed to simplify the analysis of Euler characteristics. This program addresses the difficulties involved in generating 3D test objects and the complexities of extracting Octo-Voxel patterns. The library uses a novel method to rapidly generate data and extract descriptors by using effective multiprocessing. Furthermore, we have developed a method for extracting discrete CHUNKS from an image, allowing for separate multiprocessing assessment. This method accelerates the process of combination extraction and offers researchers a quick and effective way to explore Euler characteristics in a variety of applications.

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来源期刊
Software Impacts
Software Impacts Software
CiteScore
2.70
自引率
9.50%
发文量
0
审稿时长
16 days
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