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本程序通过水平和垂直灰度投影，框选出灰度面部图像中的眼睛区域。(This program is used to locate eye region in gray facial image by means of horizontal and vertical projection.)

susan算子 基于边缘的图像分割 This function uses the SUSAN algorithm to find edges within an image(susan operator on the edge of the image segmentation This function uses the SUSAN algorithm to find edges within an image)

基于彩色信息的道路图象分割,可以有效的去除道路上的阴影.(Based on color information of the road image segmentation, can effectively remove the shadow on the road.)

主分量分析对SAR图像目标进行特征提取，用最近临方法进行分类(Principal component analysis（PCA） of SAR image target feature extraction, classification using nearest-neighbor method)

说明：  利用IDL语言编写程序 计算差值植被指数，包括波段的读取，波段数据的分块和指数计算(Using IDL language program to calculate the difference vegetation index, including the band read the sub-band data block and index calculation)

用matlab实现Tensor voting算法(Implementation of Tensor voting algorithm with MATLAB)

提出一种基于非采样contourlet变换的红外与可见光图像融合方法。高频系数结合活性度量和多分辨率系数间相关性来实现加权融合；低频系数通过局部梯度进行活性度量，再采用加权与选择相结合的规则。(Proposed a contourlet transform infrared and visible image fusion method based on non-sampling. The high-frequency coefficient binding activity to measure the correlation between multi-resolution coefficient weighted fusion activity measure low frequency coefficients of the local gradient, and then weighted and selection combining rules.)

DELPHI编写灰度直方图显示，DELPHI编写灰度直方图显示(DELPHI Writing gray histogram display, DELPHI written grayscale histogram display)

利用回转窑生产氧化铝的工艺中，提出了一种新的基于SVR（支持向量回归）的烧成带温度软测量方法。即首先对从回转窑采集到的烧结图像进行预处理，消除噪声的干扰；然后利用大津方法分割出物料区和火焰区，并提取这些区域的图像特征；其次利用基于SVR方法建立的烧成带温度模型计算温度值；参数计算.(The use of alumina rotary kiln production process, a new-based SVR (support vector regression) of the burning zone temperature soft measurement method. That is first collected from the rotary kiln sintering image pre-processing to eliminate noise interference Otsu method and then use the materials division of the district and flame zones, and extraction of image features in these regions SVR-based method followed by the establishment of the burning zone temperature model temperature parameters.)

图片去噪：对一幅图像加入不同的噪声（随机点噪声、椒盐噪声等），选取不同的方法去噪，比如说邻域平均、中值滤波、图像迭加等，比较对于不同的噪声，不同的方法哪种更好(Image denoising: for an image by adding different noise (random-dot noise, salt and pepper noise, etc.), select a different method of denoising, for example, the neighborhood average, median filter, image superposition and so on, compared for different noise, different methods which better)