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基于多向加权统计描述的OCT图像分析

An OCT image analysis method based on statistics description with directions and power
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摘要 图像的后续分析是实现成像诊断的重要环节。介绍一种基于多向加权统计描述的图像分析方法。该方法使用的统计参数具有方向性,并可根据特定需求对特定指数加权以突出重点。通过对人造皮肤烧伤、过渡及健康区域,自愈合过程不同阶段对应OCT图像的统计参数分析表明,统计参数能够较为精确地反映样品特征,基于统计方法描述OCT图像是可行的。 Analyses of images is of great importance tO clinical diagnoses . This paper presents an image analysis method based on statistics . The analysis method has directions and can alter its power parameter to give prominence to emphases on demands. The analysis on the statistics parameters of OCT images of the burning and transition parts of artificial skins and its self-concrescence process states that the image analysis method based on statistics is completely feasible to describe the samples' features. The description method based on statistics for OCT images is completely viable.
出处 《光学仪器》 2006年第5期18-21,共4页 Optical Instruments
基金 国家自然科学基金资助项目(60378041 60478040) 浙江省自然科学基金资助项目(Z603003) 博士点基金资助项目(20030335099) 霍英东青年教师基金资助项目(91010) 光子技术福建省重点实验室开放课题(FP0404) 教育部新世纪优秀人才培养计划
关键词 图像分析方法 统计参数 OCT图像 样品特征 image analysis method statistics parameters OCT images features
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