Description: 一个有效的图像配准程序，采用仿射变换和其他多项式变换，可以手动或自动对两幅图像进行配准。-an effective image registration procedures, affine transformation and other polynomial transform, can be manual or automatic right two images registration. Platform: |
Size: 3956736 |
Author:chenxin |
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Description: 随机抽样一致算法RANSAC，在图像配准中可以用于去除不精确的匹配点。-Random sample consensus algorithm RANSAC, in the image registration can be used to remove inaccurate matching point. Platform: |
Size: 723968 |
Author:晴天 |
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Description: RANSAC算法及其消除错配应用,适用于图像方面的RANSAC配准，并带有示例以帮助理解-RANSAC algorithm and its application to eliminate the mismatch, the image area of the RANSAC for registration, and with examples to help understand Platform: |
Size: 723968 |
Author:yangjunjie |
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Description: 首先用 SURF 方法提取特
征点 其次用最近邻匹配法找出对应匹配点对 结合 RANSAC 和最小二乘法求出图像之间的映射关
系 最后利用所求的变换参数插值得到配准后的图像-First with SURF extracted feature points followed by the nearest neighbor matching method to find the corresponding matching points RANSAC and least squares method combines images obtained using the mapping between the final transformation parameters are asking interpolated image after registration Platform: |
Size: 311296 |
Author:高嘉瑜 |
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Description: 对两幅图像进行配准，分别提取两幅图像的surf特征点以及描述子，得到粗匹配结果，然后根据粗匹配结果，采用ransac方法计算基础矩阵，并去除误匹配点，得到较准确匹配结果-Two image registration, surf was extracted from the feature points in two images to get the coarse matching and descriptor, then according to the results, the coarse matching results, using RANSAC method to calculate the fundamental matrix, and eliminate the error matching, gain a more accurate matching results Platform: |
Size: 108544 |
Author:王奇 |
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Description: 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。 一般来说,图像拼接的过程由图像获取,图像配准,图像合成三步骤组成,其中图像配准是整个图像拼接的基础。本文研究了两种图像配准算法:基于特征和基于变换域的图像配准算法。 在基于特征的配准算法的基础上,提出一种稳健的基于特征点的配准算法。首先改进Harris角点检测算法,有效提高所提取特征点的速度和精度。然后利用相似测度NCC(normalized cross correlation——归一化互相关),通过用双向最大相关系数匹配的方法提取出初始特征点对,用随机采样法RANSAC(Random Sample Consensus)剔除伪特征点对,实现特征点对的精确匹配。最后用正确的特征点匹配对实现图像的配准。本文提出的算法适应性较强,在重复性纹理、旋转角度比较大等较难自动匹配场合下仍可以准确实现图像配准。-Image mosaic is a technology that carries on the spatial matching to a series of image which are overlapped with each other, and finally builds a seamless and high quality image which has high resolution and big eyeshot. Image mosaic has widely applications in the fields of photogrammetry, computer vision, remote sensing image processing, medical image analysis, computer graphic and so on. 。In general, the process of image mosaic by the image acquisition, image registration, image synthesis of three steps, one of image registration are the basis of the entire image mosaic. In this paper, two image registration algorithm: Based on the characteristics and transform domain-based image registration algorithm. In feature-based registration algorithm based on a robust feature-based registration algorithm points. First of all, to improve the Harris corner detection algorithm, effectively improve the extraction of feature points of the speed and accuracy. And the use of a similar measure of NC Platform: |
Size: 332800 |
Author:刘 |
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Description: sift和surf特征点提取，然后进行配准，通过ransac进行提纯(Sift and surf feature points are extracted, then registered and purified by RANSAC) Platform: |
Size: 3195904 |
Author:lihaihaoge |
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Description: 基于SURF算法实现图像特征提取与描述，使用RANSAC进行图像细配准(SURF algorithm was used to extract and describe image features, and RANSAC was used for image registration) Platform: |
Size: 440320 |
Author:萧涵 |
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