自然环境下图像分割的改进技术

2010 International Conference on Science and Social Research (CSSR 2010) Pub Date : 2010-12-01 DOI:10.1109/CSSR.2010.5773808

Sharifah Lailee Syed Abdullah, H. Hambali, Khudzir Ismail, N. Jamil

{"title":"自然环境下图像分割的改进技术","authors":"Sharifah Lailee Syed Abdullah, H. Hambali, Khudzir Ismail, N. Jamil","doi":"10.1109/CSSR.2010.5773808","DOIUrl":null,"url":null,"abstract":"Segmentation is an essential step used for analyzing images in computer vision because digital images must be partitioned into different regions. The objective of this study is to investigate the techniques in thresholding-based method for segmenting images under natural environment. Although thresholding is popular and widely used for image segmentation, it was discovered that modifications to threshold value must be made for several images to produce clearer segmented images.","PeriodicalId":236344,"journal":{"name":"2010 International Conference on Science and Social Research (CSSR 2010)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Improved technique for segmenting images under natural environment\",\"authors\":\"Sharifah Lailee Syed Abdullah, H. Hambali, Khudzir Ismail, N. Jamil\",\"doi\":\"10.1109/CSSR.2010.5773808\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Segmentation is an essential step used for analyzing images in computer vision because digital images must be partitioned into different regions. The objective of this study is to investigate the techniques in thresholding-based method for segmenting images under natural environment. Although thresholding is popular and widely used for image segmentation, it was discovered that modifications to threshold value must be made for several images to produce clearer segmented images.\",\"PeriodicalId\":236344,\"journal\":{\"name\":\"2010 International Conference on Science and Social Research (CSSR 2010)\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Science and Social Research (CSSR 2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSSR.2010.5773808\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Science and Social Research (CSSR 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSSR.2010.5773808","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

分割是计算机视觉中分析图像的重要步骤，因为数字图像必须被分割成不同的区域。本研究的目的是研究自然环境下基于阈值的图像分割方法。虽然阈值分割在图像分割中得到了广泛的应用，但我们发现，为了得到更清晰的分割图像，必须对多个图像的阈值进行修改。

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

Improved technique for segmenting images under natural environment

Segmentation is an essential step used for analyzing images in computer vision because digital images must be partitioned into different regions. The objective of this study is to investigate the techniques in thresholding-based method for segmenting images under natural environment. Although thresholding is popular and widely used for image segmentation, it was discovered that modifications to threshold value must be made for several images to produce clearer segmented images.

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

2010 International Conference on Science and Social Research (CSSR 2010)

自引率

0.00%

发文量