IDL入门教程，较传统的有很大的优势，是学习的最好选择

one technology of face detecting ,one tec hnology of face detecting ,one technology of face detecting .

此源码包括图像的向上向下特效显示，二值化处理以及灰度分布直方图的生成。-This source, including images of the upward downward effects showed Binarization distribution deal as well as the gray histogram generation.

这是一个关于jpeg2标准的英文原版说明,里面详细介绍了jpeg2的算法,对大家很有帮助- This is explained about the jpeg2 standard English first edition that, inside in detail introduced the jpeg2 algorithm, has very much to everybody helps

细胞粘连分割算法，采用vc++6.0编译环境，能够实现粘连细胞图像的分割，算法具有一定的参考价值。-Cell adhesion segmentation algorithm, using vc++6.0 to compile the environment, to achieve adhesion cell image segmentation, the algorithm has a certain reference value.

基于特征点检测匹配的运动补偿方法，然后通过补偿的差分图像法来检测移动平台下的运动目标-Based on feature point detection method of matching motion compensation, and then through the compensation differential image method to detect the mobile platform under the moving target

使用VC写的SIFT程序，并能够将转换前后的两张图片的关键点进行比对-SIFT programs written using the VC, and be able to convert the two images before and after the key points of comparison

数学形态学的主要优点是计算简单和并行快速，一般只包含布尔运算、加减法运算而不需要做先进乘法，易于硬件实现，-The main advantage of mathematical morphology is to calculate simple and fast parallel, generally contain only Boolean operations, add and subtract operations without the need for the multiplication of advanced, easy hardware implementation,

这是一个应用VC++编写的基于摄像头读取人脸的人脸识别和人脸检测软件，其中引用了MATLAB的系统函数，是一个非常不错的人脸识别软件，这个系统在我校论文答辩审核中获得了优秀的成绩。希望对大家有用-This is an application-based VC prepared to read camera Face to Face Recognition and face detection software. cited in the MATLAB system function, is a very good face recognition software. The system in my school examination papers reply obtained outstanding achievements. We hope to useful

可用于256色位图文件的轮廓跟踪，以及对图像边缘提取。-256 colors can be used to outline bitmap file tracking, as well as the image edge extraction.

多目标图像分割技术的发展和现有多目标图像分割技术的简介-The development of image segmentation and the summary of currently exsisting technology of image segmentation