主要实现在灰度图像上处理图像的灰度值，包括灰度线性变换等操作。如果是彩色图像则首先灰度化，在进行操作。...

1)具体功能为:鼠标绘制折线,给出折线的缓冲区宽度,提取出折线的平行线. 2)本程序是利用地图代数中距离变换的方法(栅格方法),提取折线的平行线.和笔者前一阵子上传的折线的平行线算法(矢量方法)可做对比 3)注:矢量方法中没有考虑垂直的特殊情况,增加个判断条件便可消除. -1) the specific features as follows: the mouse line drawing, broken line give the width of the buffer, to extract the broken line parallel line .2) This procedure is the use of map algebra in the distance transform method (grid method), Extraction of broken parallel lines. and the author of the line long ago From the parallel line algorithm (vector method) can be compared 3) Note: The vector method does not consider the special circumstances of the vertical, increasing the conditions of a judge could be removed.

JPEG-LS可执行代码，程序有详细的说明，与算法紧密相连。

由于只是利用图像的灰度信息，sl 算法不能很好地区分形状相似但颜色不同的物体：针对这一问题，提出了一种基于彩 色的SIFT特征点提取算法，并着重分析了多种彩色模型对算法性能的影响?这种算法也是在图像的灰度尺度空间上检测特征点， 但其特征向量由各描述子子区域的彩色模型分量的均值组成并在原始的彩色图像上进行计算：实验结果证明了该算法的有效性。-Abstract：Because only the gray scale information is utilized．the SIFT method can’t differentiate the objects with similar shape but with diferent colors commendably．1,1 order to solve such problem．presents a color―based SIF I feature point detecting method and analyzs the method’S performance in temas of diferent color models The method detected interest points in the gray image scale space，and its eigem eetors al’e composed of the mean 、 alues of different color model components in each subregion and are computed based on the Ol。iginal color images．Tile experimental results have proved its validity

用于三桢差分动态目标的跟踪，ＶＣ环境下实现，效果良好．-for three-ching difference dynamic object tracking, VC environment to achieve good results.

VC++实现的物体跟踪程序 opencv 效率还可以，挺不错的-object tracking

信息压缩中一种常见的编码---霍夫曼编码的源程序代码-Information Compression in a common coding- Huffman coding of the source code

m序列生成,可用于图象,音频置乱,如用于数字水印中可去除图象间的相关性

用计算机进行数字图像处理，使用matlab环境，对图像进行增强，平滑与锐化，分割，变换，压缩与编码，是平常实验的好选择。-Using computer digital image processing, the use of matlab environment, enhance the image, smoothing and sharpening, segmentation, transform, compression and encoding, is usually a good choice experiment.

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