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- Experimental results show that the algorithm can globally optimize the image registration parameters, smooth the image with moving objects, reduce artificial disfigurement, and enhance photo realistic aspect of video panorama. 实验结果表明,该算法优化了图像间的配准系数,平滑处理了拼接后的图像,减少了人工性缺陷,提高了视频全景图的真实感。
- Image registration parameters 配准参数
- Fundamentals of Medical Image Registration. 医学成像的限制基础。
- Image registration based on piecewise linear group parameters An improved image registration method based on pseudoperspective model and comparametric function was presented. 提出了一种基于仿透视函数模型和相机响应参数模型共同作用下图像配准算法。
- Powell algorithm which does not compute gradients and Brent algorithm were used to search the optimal rotation and translation parameters, while multi-resolution searching strategy leads to a fast image registration. 在寻找最优的旋转和平移参数时,采用了无需计算梯度的Powell直接搜索算法和Brent算法,并通过多分辨的方式加快图象配准速度。
- A new correlation ratio similarity measure in voxel intensity based medical image registration field was adopted. 在基于体素灰度的医学图像配准领域,本文采用了全新的相关比相似性测度作为配准的测度准则。
- Moreover,the errors in RCPs are one of main sources lowering the accuracy of image registration of uncorrected image. 在遥感影像配准过程中,通常假设控制点是“完美的”。
- Image registration is an important technique in image fusion and moving target detection (MTD). 摘要图像配准是图像融合、运动目标检测中的关键技术之一。
- An improved image registration algorithm was proposed to match the standard template and the being tested image. 提出了一种改进的图像配准算法对标准模板图像和待测图像进行匹配。
- Image registration process is presented and the method is validated by experiment of shifted image registration. 然后给出了图像配准的过程,并利用人工平移图像配准对该方法进行了实验验证。
- Non-iterative automatic image registration method based on gradient phase correlation is proposed. 提出了非迭代的基于梯度相位相关的图像自动配准方法。
- Mutual information is an important method for multimodal medical image registration. 互信息是多模态医学图像配准的一种重要方法。
- Firstly, reference image is rotated to suit for the rotated multisensor image registration. 把控制点理论应用于灰度匹配得到的匹配点;
- Image registration is still in the state of development, and it has a long way for us to go in order to make accuracy, speediness and a... 但是,图像配准是一个尚处在发展阶段的学科,实现配准的精确化、快速化、自动化仍需要进一步的努力。
- A new algorithm of infrared and visible light image registration based on normalized mutual information(NMI) and wavelet transform is given. 摘要 针对灰度和图像特征存在较大差异的可见光和红外图像配准,给出了一种基于归一化互信息与小波变换相结合的快速图像配准算法。
- Objective To study a robust, accurate and effective processing method for digital subtraction angiography (DSA) image registration. 摘要目的研究一种实用性强、精度高、鲁棒性好的数字减影图像配准方法。
- Extraction of cerebrum from raw MRI volume data is an important work for visualization of human brain, analysis of morphology and image registration. 将人的大脑从MR图像体数据中提取出来是脑的可视化、形态学分析、脑图象配准等多种工作的重要基础。
- The algorithm has been applied on noisy MR mono-modality,PET mono-modality and MR-PET multimodality medical image registration. 最后将此法应用于加噪MR图像单模配准、PET图像单模配准和MR-PET图像多模配准的。
- By expatiating image registration method based on wavelet transformation and mutual information, an improved image registration algorithm was proposed. 摘要在基于小波分解和互信息测度的图像配准方法的基础上,提出一种改进的快速图像配准算法。
- For the brain functional image registration optimization problem, we presented a new Taboo search based on memory, named the memory taboo search. 针对脑功能成像中图像配准的优化模型,提出了一种基于记忆的禁忌算法。