Octree

labview基础视觉识别的东西，讲的很细(The basic visual recognition course of LabVIEW is very detailed.)

猫群算法在图像分类中的应用。猫群算法是一种比较新的算法，目前研究和使用的并不多。(The cats swarm optimization in image classification. Cat swarm optimization is a relatively new algorithm, not much research and use.)

三个很好的程序，有染色体的识别，车牌跟踪，还有神经网络设计，肯定是非常好的，希望大家从中学习(Three very good procedures, there are chromosome recognition, license plate tracking, as well as neural network design, is certainly very good, I hope you learn from)

说明：  虚拟示波器实现示波器的功能 数据采集 处理 存储(Virtual oscilloscope)

说明：  基于边缘特征的SAR图像与光学图像匹配，测度为Hausdorff距离(SAR images based on edge features and optical image matching, for the Hausdorff distance measure )

em算法求解混合高斯模型，适合图像处理中，对象分割(em algorithm Gaussian mixture model suitable for image processing, object segmentation)

数字图像处理 哈里斯脚点检测算法实现 图形界面完全 先高斯滤波 在监测角点(image processing Harris coner dection GUssian filter)

基于全变分（TV）的多光谱遥感图像恢复。当多光谱图像中一个通道模糊时，利用其它通道的图像特征辅助进行去模糊或反卷积，效果不错！！附带有对应的文章做参考。(This is a new image restoration or deconvolution method, which uses one of clear band image to constraint Total Variation de-blurring of degraded band image in multispectral image. It tested with different noise with different regularization parameters. It also compared with otherhods.)

颜色和纹理特征的图像分割 颜色和纹理特征的图像分割(Image Segmentation Based on Color and Texture Features)

1.RAW格式转换为BMP格式 2.灰度线性拉伸 3.局部处理 4.几何处理 5.二值化 6.模板匹配 7.影像融合(1.RAW format converted to BMP format 2. grayscale linear stretch 3. local processing 4. geometric processing 5. binaryzation 6. template matching 7. image fusion)