操纵位图的开发包,适合初学者使用,简洁方便。

一维二维三维信号MATLAB中值去噪滤波源代码1D, 2D or 3D median filtering-One-dimensional two-dimensional three-dimensional signal denoising filter in MATLAB source code for 1D, 2D or 3D median filtering

经典的斑块分析算法，计算Blob的源码，算法很好。-Classical plaque analysis algorithms to calculate Blob source code, algorithms very well.

将RGB图像格式转化成YCbCr图像格式的C程序-RGB image format will be converted into YCbCr image format C program

图像处理，用于根据颜色提取图像，简单实用！内容不复杂！-Image processing, for extracting the basis of color images, simple and practical! Content is not complicated!

该程序为小波图像去噪的matlab原代码，内容很丰富，大家可以共享-The procedure for the wavelet image denoising matlab source code, content is very rich, we can all share the

实验目的： 1） 图像水平集合 2） 图像加密算法 3） 边缘提取 4） 噪音图像的产生 （2）显示图像，理解图像的模型 （3）使用图像的不同格式，理解图像压缩的意义 （4）对图像做简单的操作 本次实验需要熟练使用以下几个MATLAB命令： imread, imwrite, imshow,figure -Experimental purposes: 1) the level of collection of image 2) image encryption algorithm 3) Edge 4) noise generated images (2) display images, understanding image model (3) the use of images in different formats, understanding the significance of image compression (4) image to do a simple experiment needs to operate the skilled use of the following MATLAB command: imread, imwrite, imshow, figure

一个优化了的H.264编码JM，在VC下能够顺利通过测试-Workspaces for MS Visual C++ 2003/2005 are provided with the names jm_vc7.sln - MS Visual C++ 2003 jm_vc8.sln - MS Visual C++ 2005

用Delphi制做，实现在打开，二值化，对图像的腐蚀，膨胀，轮廓提取等效果，使结构开，结构闭，细化，恢复原图等功能，以及从各个角度的投影等-system with Delphi done to achieve the open, two values, the image of corrosion, swelling, contour extraction effect, open structure, structural closure details, such as the maximum functional recovery, and from all angles as the projector

VOXEL实时地形渲染-VOXEL-Terrain Rendering

可实现与graph-cuts算法相似的图像分割效果. 他借用了生物形态学知识，将每一个像素视为一个细胞，这些细胞可能是前景，背景，或其他。这些细胞依据其灰度竞争获得生长，由此获得分割。-This algorithm is presented as an alternative to graph-cuts. The operation is very simple, and can be thought of with a biological metaphor: Imagine each image pixel is a "cell" of a certain type. These cells can be foreground, background, undefined, or others. As the algorithm proceeds, these cells compete to dominate the image domain. The ability of the cells to spread is related to the image pixel intensity