图像融合工具箱，包括线性方法，非线性方法，多分辨率方法等...

本文提出了一种基于区域分割的分段线性变换方法，结合灰度直方图提供的有关灰度分布的统计信息 和图像提供的空间位置信息，利用各灰度区间把图像分割成不同的区域，检验要增强的目标是否落在某 灰度区间对应的图像区域内，从而加快了调整灰度区间的过程，提高了算法的执行效率。-dddddddddddddddddddddddddddddd

迭代法计算图像阈值，程序可以用，我试过了，有做图像处理方面的朋友可以-迭代法计算图像阈值，程序可以用，我试过了，有做图像处理方面的朋友可以试试

我编的图像处理程序，包括模糊，小波等等方面的内容-I made the image processing procedures, including fuzzy, wavelet and so on aspects

多种图像边缘检测与分割处理 是M文件 程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例――从PCB图像中删除所有电流线，仅保留芯片对象-A variety of image edge detection and segmentation is the deal with M files code Description P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line thresholding image segmentation P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: Morphological examples- from PCB image delete all current lines, retaining only the target chip

移动图像分割方法研究 文中针对移动图像的图像分割,采用时间域信息捕捉移动物体, 然后利用空间域信息进行细致的分割,提出了一种新颖又实用的移动图像分割方法 -Mobile text, image segmentation method for mobile imaging in the image segmentation, the use of time domain information to capture moving objects, then the use of detailed spatial information of the partition, a novel and practical method of image segmentation mobile

这用在vc++环境下进行图像处理的源代码 对比度拉伸源码-This is used in vc++ Environment deal with the source code of the image contrast stretching source

这是一个来自权威书籍的最小均方算法(LMS algorithm),也叫Widrow-Hoff算法。-This is a book from the authority of the least mean square algorithm (LMS algorithm), also known as Widrow-Hoff algorithm.

对摄像机进行标定。学习之用。学写代码的话比看OPENCV的代码要好，使用的话OPENCV或者MATLAB都足够了-Calibration of the camera. Learning. Write code, then look OPENCV than the code is better, the use of words or MATLAB are OPENCV enough

c#在图像处理的方面的源程序：包括图像的增强，滤波等操作～界面比较人性化！-c# in the image processing aspects of the source: including image enhancement, filtering, comparison operator interface humanized ~!

KPCA主要在图像去噪声方面有应用。此外还可以进行特征提取，降维使用 -KPCA major noise in the image to have the application. In addition can also be used for feature extraction, dimensionality reduction using