NonLocalMeansFiltering

三维图像配准中的互信息程序。加入边界处理。(脠媒脦 卢 脥 录 脧帽脜盲 脳 录 脰脨渭脛 禄楼 脨脜脧 垄 鲁 脤脨貌 隆 拢 录 脫脠毛 卤 脽 陆 莽 )

DWT的彩色水印嵌入算法，而且嵌入的水印附图像是彩色的。(DWT color watermark embedding algorithm, and the embedded watermark such as color drawings.)

sift算法具有旋转不变性 提取的特征点效果非常的好 用于图像配准中

人脸图像配准，将同一场景的两幅或多幅图像进行对准，可以实现人脸归一化(Face image registration, the same scene two or more images for the alignment can be achieved face normalization)

图像修复是图像处理的一个重要问题。这是一个困难的问题，同时填写在地区缺少图像信息的纹理和结构。以损坏的图像inpaint失踪的结构和纹理信息，基于小波分解的图像修补算法提出。首先损坏的图像分解成子图像和纹理结构，利用小波子图像转变。然后，地区结构中缺少的信息的子图像重建曲率驱动扩散（CDD），算法，而在同一区域的纹理子图像填写基于改进的纹理合成的典范 最后，恢复的图像，通过重组，结构和纹理恢复的结果。大量的实验表明，该算法可以快速，高效地恢复在同一时间的结构和纹理信息，视觉效果和峰值信噪比比（PSNR）比同类算法更好。(Image inpainting is an important problem image processing. It is a difficult problem to simultaneously fill-in the texture and structure in regions of missing image information. In order to inpaint the damaged image with both missing the structure and texture information, an image inpainting algorithm based on wavelet decomposition is presented. First the damaged image is decomposed into structure sub-image and texture sub-image using the wavelet transformation. Then, the sub-image with the region of missing information in the structure is reconstructed by Curvature-Driven Diffusions (CDD) algorithm, while the same region in the texture sub-image is filled-in with the improved texture synthesis based on exemplar Finally, the restored image is given by recombining the structure and texture restored results. A large number of experiments show that the proposed algorithm can quickly and efficiently restore the structure and texture information at the same time, and the visual eff)

图像分割是图像分析的关键步骤，而水平集方法是图像分割的一项热门方法，它有着许多算法不具有的优点，尤其可用于分割背景复杂信息难以提取的医学图像。这里是一些水平集分割图像的matlab的实现例子，希望可以帮到大家。(Image segmentation is the key step of image analysis, while the level set method is a popular image segmentation method, it has many advantages that the algorithm does not have, especially can be used for medical image segmentation of complex background information is difficult to extract. Here is some level set segmentation image matlab example, I hope we can help you.)

说明：  图像特征提取，不变矩。hu矩。f1~f7.用于物体识别。(hu)

KALMAN filtering algorithm under the matlab toolbox, Shared by everybody, good source is very good

遥感图像时空融合，朱孝林博士的作品，可以参考学习(Space-time Fusion of Remote Sensing Images, Zhu Xiaolin)

说明：  这是“Implicit Active Contours Driven by Local Binary Fitting Energy”（简称LBF模型）的MATLAB源代码。LBF模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。(This is the "Implicit Active Contours Driven by Local Binary Fitting Energy" (referred to as the LBF model) of the MATLAB source code. LBF model is very important to local area active contour model, which is widely used in various fields, such as MRI brain image segmentation, vessel segmentation, image bias field correction.)