Study of Segmentation Method Based on Infrared Images and Visible-light Images

摘要：

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 lowresolution 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.

关键词： infrared Image image segmentation edge detection Freeman chain code

作者: Changzheng Liu Guiyun Ye Hui Wang

作者单位: The Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentations of H College of Electrical and Information Engineering,Heilongjiang Institute of Science and Technology,H College of Computer Science and Technology,Harbin University of Science and Technology,Harbin China

会议类型: 国际会议

会议名称: The 6th International Forum on Strategic Technology(IFOST 2011)(第六届国际战略技术论坛)

会议地点: 哈尔滨

会议语种:英文

页码: 1049-1052

在线出版日期: 2011-08-22（万方平台首次上网日期，不代表论文的发表时间）