图 书 馆
X射线图像集中的对象分离Object Separation In X-Ray Image Sets |
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| 课程网址: | http://videolectures.net/cvpr2010_heitz_osxr/ |
| 主讲教师: | Geremy Heitz |
| 开课单位: | 奎尔安全系统公司 |
| 开课时间: | 2010-07-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In the segmentation of natural images, most algorithms rely on the concept of occlusion. In x-ray images, however, this assumption is violated, since x-ray photons penetrate most materials. In this paper, we introduce SATISφ, a method for separating objects in a set of x-ray images using the property of additivity in log space, where the logattenuation at a pixel is the sum of the log-attenuations of all objects that the corresponding x-ray passes through. Our method leverages multiple projection views of the same scene from slightly different angles to produce an accurate estimate of attenuation properties of objects in the scene. These properties can be used to identify the material composition of these objects, and are therefore crucial for applications like automatic threat detection. We evaluate SATISφ on a set of collected x-ray scans, showing that it outperforms a standard image segmentation approach and reduces the error of material estimation. |
| 关 键 词: | 算法; 遮挡; 对象分离 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-03-12：cwx |
| 阅读次数: | 96 |