基于特征点匹配的图像拼接我要分享

Image mosaic based on feature points matching

matlab 图像 基于 拼接 特征 匹配

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代码描述

中文说明:应用背景图像拼接(image mosaic)技术是将一组相互间重叠部分的图像序列进行空间匹配对准,经重采样合成后形成一幅包含各图像序列信息的宽视角场景的、完整的、高清晰的新图像的技术。图像拼接在摄影测量学、计算机视觉、遥感图像处理、医学图像分析、计算机图形学等领域有着广泛的应用价值。但是在实际应用中,很多时候需要将360 度所拍摄的很多张图片合成一张图片,从而可以使观察者可以观察到周围的全部情况。使用图像拼接技术,在根据拍摄设备和周围景物的情况进行分析后,就可以将通过转动的拍摄器材拍摄的涵盖周围360 度景物的多幅图像进行拼接,从而实时地得到超大视角甚至是360 度角的全景图像。这在红外预警中起到了很大的作用。 关键技术基于特征的配准方法有两个过程:特征抽取和特征配准。首先从两幅图像中提取灰度变化明显的点、线、区域等特征形成特征集冈。然后在两幅图像对应的特征集中利用特征匹配算法尽可能地将存在对应关系的特征对选择出来。一系列的图像分割技术都被用到特征的抽取和边界检测上。如canny 算子、拉普拉斯高斯算子、区域生长。抽取出来的空间特征有闭合的边界、开边界、交叉线以及其他特征。特征匹配的算法有:交叉相关、距离变换、动态编程、结构匹配、链码相关等算法。


English Description:

Application backgroundImage mosaic (mosaic image) technology is a series of overlapping parts of the image sequence to the spatial matching alignment, the re sampling of the formation of a wide range of images containing the information of each image sequence, complete, high and clear new image technology. Image mosaic is widely used in the field of photogrammetry, computer vision, remote sensing image processing, medical image analysis, computer graphics and so on. But in practice, a lot of times need to be taken by the 360 degree of a picture of a picture, so that the observer can observe the whole situation around. Using image mosaic technology, in accordance with the shooting equipment and the surrounding scene analysis, it can be through the rotation of the shooting range of 360 degrees around the scene of the multi image mosaic, so as to get a large viewing angle and even 360 degree angle panoramic image. This has played a great role in the infrared early war


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