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ImageRegistration

于 2009-03-19 发布 文件大小:138KB
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  基于边缘特征的图像配准算法源码 基于边缘特征的图像配准算法是将不同时间、不同的传感器(成像设备)或不同条件下(天候、照度、摄像位置和角度等)获取的同一场景的两幅或多幅图像根据其边缘特征进行匹配、叠加的处理,最终生成一幅全景图像的方法。该方法具有抗噪性强,匹配速度快,误匹配率低,适用于多种类型的图像等优点,主要可以运用于以下领域: (1)军事研究领域,如飞行器辅助导航系绞、武器投射系统的末制导以及寻地等应用研究; (2)医学图像分析,如数字剪影血管造影DSA血管造影术、肿瘤检测、白内障检测、CT、MRI、 PET、 SPECT图像结构信息融合; (3)模式识别,如特征识别、波形分析、签名证实、目标物运动跟踪、序列图像分析等; (4)计算机视觉,可用于目标定位、自动质量控制等; (5)遥感数据分析,多电磁波段图像信息融合,如多谱段的等场景分类、定位和识别定义好的或已知特征的场景、自然资源监控、核生长监控、市区增长检测等。 本算法实现使用VC++6.0为开发环境,目前只支持灰度图像,感兴趣的朋友可以进一步扩展。(Image registration is a fundamental problem in image processing, which is a process to match two or more images of the same scene taken at different times, from different viewpoints, or by different sensors. Image registration is an important technique for a great variety of applications such as medical image analysis, computer vision, remote image data analysis, image information fusion, and the recovery of the 3–D characteristics of a scene.)

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