{"title":"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","authors":"César Eduardo Muñoz-Chávez, Hermilo Sánchez-Cruz","doi":"10.1016/j.simpa.2024.100671","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"21 ","pages":"Article 100671"},"PeriodicalIF":1.3000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000599/pdfft?md5=947dfb785ac6c9fcb9f3d29a82469100&pid=1-s2.0-S2665963824000599-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Accelerating Euler characteristic analysis: A multiprocessing approach with Octo-Voxel patterns and discrete chunk extraction\",\"authors\":\"César Eduardo Muñoz-Chávez, Hermilo Sánchez-Cruz\",\"doi\":\"10.1016/j.simpa.2024.100671\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":29771,\"journal\":{\"name\":\"Software Impacts\",\"volume\":\"21 \",\"pages\":\"Article 100671\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2024-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2665963824000599/pdfft?md5=947dfb785ac6c9fcb9f3d29a82469100&pid=1-s2.0-S2665963824000599-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Software Impacts\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2665963824000599\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Software Impacts","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2665963824000599","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
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.