数字图像处理_第三版_英_答案

说明：  水平集C-V模型，用水平集算法实现三幅图像的自动分割。(The level set C- V model，with the level set algorithm to realize three image segmentation)

对图片预处理加入高斯噪声，各种经典边缘检测算子对图像进行边缘提取(Gaussian noise on the image pre-processing, a variety of classic edge detection operator to extract image edge)

Image Steganograpy using Pixel-Value Differencing

MATlab图像分割源代码,包含边缘检测，区域分割，直方图(MATlabapplican)

实现人体跟踪的源代码，实现对视频中目标人物的跟踪(The human tracking source code, the video of the target person tracking)

本设计是基于超像素的图像分割代码，可以实现图像前景和后景的分割。没有人机交互界面GUI。( U672C u8BB u8B1 u662F u57FA u5FF u524F u5BF u5BF u5DF u7D0 u7R0 u7684 u56FE u50CF u5206 u5272 u4EE3 u7801 uFF0C u53EF u4E5 u5B9E u73B0 u56FE u50CF u524D u666F U548C u540E u666F u7684 u5206 u5272 u3002 u6CA1 u6709 u4EBA u673A u4EA4 u4E92 u754C u9762GUI u3002)

详细介绍了K-SVD字典训练的详细过程，对稀疏表示研究很有帮助.(Detailed introduces the K- SVD dictionary of detailed training process, the sparse say that research to have the help very much. )

说明：  为了达到较好的隐藏效果，本文采用游程编码的方法在二值图像中隐藏信息。秘密信息嵌入时修改二值图像的游程长度，如果秘密信息为是0，则修改该游程长度为偶数；如果秘密信息的取值与游程长度的奇偶性相匹配，则不改变游程长度。提取时根据游程长度奇偶性提取出秘密信息。在信息隐藏时，改变游程的奇偶性时通过对下一个游程的第一个像素值进行修改，因此当下一个游程长度为1时通过改变当前有成的值实现。(In order to achieve better hiding effect, we use run length encoding method to hide information in two value images. When the secret information is embedded, the length of the travel length of the two value image is modified. If the secret information is 0, the length of the travel length is even even. If the value of the secret information is matched with the parity of the length of the run, the length of the journey is not changed. The secret information is extracted according to the parity of run length. In information hiding, changing the parity of the journey is modified by the first pixel value of the next run, so the current length is 1 by changing the current value.)

该压缩包里包括了一幅图像的位平面解，即一幅灰度图像可以分成八个位平面。利用它可以转化到彩取色图像中去，很有用处的。(The bag includes a compressed image bit-plane solution, that is, a gray image can be divided into eight bit-plane. Use it can be transformed into the color check color images, and useful.)

在matlab开发环境中，使用模糊C均值聚类的方法对数据进行聚类(In the Matlab development environment, the use of fuzzy C-means clustering methods for data clustering)