Study of segmentation method based on infrared images and visible-light images

Proceedings of 2011 6th International Forum on Strategic Technology Pub Date : 2011-09-15 DOI:10.1109/IFOST.2011.6021200

Changzheng Liu, Guiyun Ye, Hui Wang

{"title":"Study of segmentation method based on infrared images and visible-light images","authors":"Changzheng Liu, Guiyun Ye, Hui Wang","doi":"10.1109/IFOST.2011.6021200","DOIUrl":null,"url":null,"abstract":"A technique based on infrared images acquisition from infrared thermal imaging technology combined visible-light images for image segmentation is introduced. Under the same hardware (infrared camera) acquisition devices captured the same point of the visible-light images and infrared images. The infrared image is used LOG operator to be objective edge. Then gets the original boundary to the larger lattice re-sampling, purpose to eliminate affected with infrared images by noise and ignores the breakpoints edge, the boundary chain code can be shorter. The boundary pixel record with 8 directions chain code. Use the chain code with the visible-light image from the same point of view for image segmentation. Thus, it can get the region of interest (ROI). Use to characteristics of infrared images low-resolution and less information, but sharp change on the edge. Ignore deal on the internal details of the object-region and focus to object-boundary. Use to characteristics of visible-light images color and texture information. Experimental results demonstrate that the Infrared images and visible-light images combined for image segmentation is effective and efficient.","PeriodicalId":20466,"journal":{"name":"Proceedings of 2011 6th International Forum on Strategic Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2011 6th International Forum on Strategic Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IFOST.2011.6021200","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

Abstract

A technique based on infrared images acquisition from infrared thermal imaging technology combined visible-light images for image segmentation is introduced. Under the same hardware (infrared camera) acquisition devices captured the same point of the visible-light images and infrared images. The infrared image is used LOG operator to be objective edge. Then gets the original boundary to the larger lattice re-sampling, purpose to eliminate affected with infrared images by noise and ignores the breakpoints edge, the boundary chain code can be shorter. The boundary pixel record with 8 directions chain code. Use the chain code with the visible-light image from the same point of view for image segmentation. Thus, it can get the region of interest (ROI). Use to characteristics of infrared images low-resolution and less information, but sharp change on the edge. Ignore deal on the internal details of the object-region and focus to object-boundary. Use to characteristics of visible-light images color and texture information. Experimental results demonstrate that the Infrared images and visible-light images combined for image segmentation is effective and efficient.

查看原文本刊更多论文

基于红外图像和可见光图像的分割方法研究

介绍了一种基于红外图像采集和红外热成像技术结合可见光图像进行图像分割的方法。在相同的硬件(红外摄像机)下采集设备捕捉到同一点的可见光图像和红外图像。红外图像采用LOG算子作为客观边缘。然后对得到的原始边界进行较大的点阵重采样，目的是消除受红外图像噪声影响而忽略断点边缘，使边界链编码可以更短。边界像素记录用8个方向链码。使用链码与可见光图像从同一角度进行图像分割。从而得到感兴趣区域(ROI)。利用红外图像的特点，分辨率低，信息量少，但边缘变化剧烈。忽略对象区域的内部细节，关注对象边界。利用可见光图像的颜色特征和纹理信息。实验结果表明，将红外图像与可见光图像相结合进行图像分割是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Proceedings of 2011 6th International Forum on Strategic Technology

自引率

0.00%

发文量