求解一个矩阵的逆矩阵过程，是一个矩阵的化简过程

图像锐化算法，锐化的效果很明显，能达到预期的效果，很适合应用再实践中，运行速度一般。-Image sharpening algorithm, the effect of sharpening it is clear that to achieve the desired results, it is suitable for further practice, the operating speed in general.

SART代数迭代算法，CT系统中经典算法-SART

图像处理 图像检索 功能强大 直接使用-Image processing image retrieval powerful direct use

这个程序用于实现图像数据的旋转。所用的算法基于复数的运算，很有启发意义-it is a program to rotate the image data .developing the method on the basis of complex computation has inspire meaning

应用Meanshift实现对视屏序列的运动目标进行跟踪，抗遮挡性较强。-Application of video sequences Meanshift achieve the objectives of the exercise track, a strong anti-block.

数字图像处理程序源代码，功能丰富，包括图像增强，图像边缘检测与分析，几何变换，压缩编码，图像复原等-Digital image processing source code, feature-rich, including image enhancement, image edge detection and analysis, geometric transformations, compression coding, image restoration, etc.

Gabor提取图像纹理特征，很经典。I hope the researchers who study the algorithm communicate with me。-Gabor extract image texture features classic. I hope the researchers who study the algorithm c ommunicate with me.

Visual C++MATLAB图像处理与识别实用案例精选之离形余弦变换的程序例子-Visual C MATLAB image processing and recognition of practical cases selected from the form"s Cosine Transform procedures examples

基于空域的脆弱水印算法，该方法最具代表性的是最低有效位（LSB）法，也就是文件中的方法，两个文件分别给出了水印的生成和检测。-Airspace based on fragile watermarking algorithm, the method is the most representative of the least significant bit (LSB) method, which is the method of the document, two documents were given watermark generation and testing.

针对传统方法难以可靠估计图像中纹理单一区域像素点视差的问题,将纹理分析应用于立体匹配中,提 出图像分块整体匹配的方法。首先用LBP/C纹理分析方法对图像纹理进行描述 然后进行基于区域生长的扩张检 测,得到纹理单一图像块 最后对图像块进行整体匹配,得到纹理单一区域的稠密视差图。对国际标准图像进行测试, 结果表明该算法能提高纹理单一区域稠密视差图的精度,具有实用价值 -Due to the difficulty of getting disparity of less textured pixels with traditional approach, block matching algorithm with texture analysis was put forward. First, the images were described by LBP/C texture analysis. Then the expansion detection based on region growing was performed, and the less textured blocks were acquired. Finally the dense disparitymap of less textured area was obtained through block matching. The proposed algorithm was tested with the international standard image data and comparedwith some existing algorithms. The experimental results show that the proposed algorithm can improve the accuracy of disparitywhen handling less textured areas and can be used in practic