基于改进Canny算子的气液两相流气泡图像分割

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2008-12-12 DOI:10.1109/CSSE.2008.1396

Z. Wenyin, Jin Ning-de, Lin Xia, Nie Zhiqiang

{"title":"基于改进Canny算子的气液两相流气泡图像分割","authors":"Z. Wenyin, Jin Ning-de, Lin Xia, Nie Zhiqiang","doi":"10.1109/CSSE.2008.1396","DOIUrl":null,"url":null,"abstract":"Image segmentation is the foundation of multi-flow high speed video analysis. Based on improved canny operator, we provide a method to bubble gas/liquid two-phase flow image segmentation, which takes the more gray distribution information into account, uses gauss sigma smooth filter to maintain edges and eliminate noise, then by non-maximum control of grads and lag-threshold process, the clear bubble edge image is obtained. The method is very effective for the analysis and recognition of bubble multi-flow.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"17 1","pages":"799-801"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Bubble Image Segmentation of Gas/Liquid Two-Phase Flow Based on Improved Canny Operator\",\"authors\":\"Z. Wenyin, Jin Ning-de, Lin Xia, Nie Zhiqiang\",\"doi\":\"10.1109/CSSE.2008.1396\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Image segmentation is the foundation of multi-flow high speed video analysis. Based on improved canny operator, we provide a method to bubble gas/liquid two-phase flow image segmentation, which takes the more gray distribution information into account, uses gauss sigma smooth filter to maintain edges and eliminate noise, then by non-maximum control of grads and lag-threshold process, the clear bubble edge image is obtained. The method is very effective for the analysis and recognition of bubble multi-flow.\",\"PeriodicalId\":6460,\"journal\":{\"name\":\"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)\",\"volume\":\"17 1\",\"pages\":\"799-801\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSSE.2008.1396\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSSE.2008.1396","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 4

摘要

图像分割是多流高速视频分析的基础。提出了一种基于改进canny算子的气泡气液两相流图像分割方法，该方法考虑了更多的灰度分布信息，采用高斯-西格玛平滑滤波保持边缘并消除噪声，然后通过梯度的非极大值控制和滞后阈值处理得到清晰的气泡边缘图像。该方法对气泡多流的分析和识别是非常有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Bubble Image Segmentation of Gas/Liquid Two-Phase Flow Based on Improved Canny Operator

Image segmentation is the foundation of multi-flow high speed video analysis. Based on improved canny operator, we provide a method to bubble gas/liquid two-phase flow image segmentation, which takes the more gray distribution information into account, uses gauss sigma smooth filter to maintain edges and eliminate noise, then by non-maximum control of grads and lag-threshold process, the clear bubble edge image is obtained. The method is very effective for the analysis and recognition of bubble multi-flow.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)

自引率

0.00%

发文量