有关彩色图像分割与复杂场景下目标跟踪方法研究的一篇博士论文...

基于SIFT的图像配准，这只是基中的一部分，想知道其他的请稍候-SIFT-based image registration, this is only part of the base, would like to know the other please wait

把级联信息转化成xml文档，C直接写好的exe-To cascade information into xml document, C direct written exe

采用各向异性方法 填补一个缺损的轮廓，从而可以得到一个光滑完整的轮廓。- Completed contours correspond to ridges of an extension (ext) of the characteristic function of the uncompleted curve. Anisotropic extension is performed on the characteristic function fbound of an image set given by the binary map boundary to the whole image domain. Extension is initially driven by xi=(EigVect{1}, EigVect{2}) (which should match with the contour tangent direction) computed as the direction of maximum coherence of the distance map to the contour to close. It is updated every N iterations with DCV over the distance map to the ridges/thinning of the evolved image. Two different stop criteria are supported: Number of Connected Components ( numcomp ). Contour Completion. Stop when the extended contour (curve of level 1) has exactly Ncomp connected components. Difference between two consecutive iterations ( tol ) Speed Stabilizes ( speed_stab ). [extended]=ContourComple

能进行基于Arnold算法的正变换和反变换-Arnold-based algorithm to the transformation and anti-transform

在图像处理中，主要用于对图像的细化操作。- In image processing, mainly used for fine-grained images

利用Visual C++实现的基于wavelet的图像拼接、融合、重建等算法，非常实用-Using Visual C++ implementation of the wavelet-based image mosaic, integration, reconstruction algorithm, a very practical

改变图像的分辨率，C#语言，很简单的一个小程序。-To change the image resolution, C# language, a very simple procedure.

Visual C++MATLAB图像处理与识别实用案例精选之　图像平移　算法的源程序，含标准测试图片-Visual C MATLAB image processing and recognition of practical cases selected images translation algorithm source files, including standard tests Photo

实现背景图像的各种效果变换，效果非常好，可以作为游戏开发的参考。

图像余旋变换（Cosine Transformation）是一种频域变换，广泛应用于图像处理。本代码实现了图像Cos变换，非常经典，带图片可测试.-image rotation transform (Cosine Transformation) is a frequency-domain transform, widely used in image processing. Implementation of the code of the image Cos transform, very classic, with pictures can be tested.