plsa

K-SVD的工具箱，使用非常简单，直接运行demo。有助于学习K-SVD，对初学者非常有用。(K-SVD Toolbox, easy to use and it is very useful for beginners.)

harris角点检测，并且实现两幅图像特征点的匹配，最终完成图像的拼接(harris corner detection, and realize two image feature point matching, the final completion of image stitching)

retinex算法的一个源代码，用于图像增强处理，能比较好的提高对比度(retinex an algorithm source code for image enhancement, to better enhance the contrast)

说明：  学习和掌握简单条件下规则形体重力异常的正演计算方法和形态特征，加深对课堂理论内容的理解。 根据指定形状地质体，选择不同产状和密度参数，计算出重力异常及其导数的正确结果。绘制相应的剖面异常图，观察曲线形态。(Learn and master the forward calculation method and morphological characteristics of gravity anomaly of regular body under simple conditions, and deepen the understanding of classroom theoretical content. According to the specified shape geological body, different occurrence and density parameters are selected to calculate the correct results of gravity anomaly and its derivative. Draw the corresponding profile anomaly map and observe the curve shape.)

利用多用方法进行数字图像去模糊实例，便于初学者理解反卷积去模糊、伪逆去模糊等基本算法(Example scripts for image debluring, try to give general introduction of some basic algorithms, such as pseudo inverse debluring.)

对于一幅输入的图形进行特征提取基于gabor小波变换(For an input graphics feature extraction based on wavelet transform gabor)

基于pcnn的图像融合及其相关的评价指标和融合结果(Image Fusion Based on PCNN， and Relevant uation index and the fusion results)

实现多种方法的全色和多光谱图像融合：（1）IHS变换（2）高通滤波（3）GIHS方法（4）小波变换（5）PCA （6）Brovey变换(A variety of methods of panchromatic and multispectral image fusion: (1) IHS transform (2) high-pass filter (3) GIHS method (4) wavelet transform (5) PCA (6) Brovey transform)

说明：  DOG高斯差分实现物体识别中的特征提取,对不同尺度空间的图像进行差分，从而获得描述物体的特征值(difference of gaussian to achieve the feature point exaction of object recognition)

一个简单的虚线类，绘制各种虚线的C++类库，请看效果截图，可绘制出各种彩色的虚线效果。画横向或竖向虚线，以及对角线的虚线框效果，都是可以的，带有一个演示程序。(A simple dashed class, draw various dashed C++ library, see the effects shots, you can draw a variety of color dotted effect. Draw horizontal or vertical dashed line, as well as the effect of diagonal dashed box, are possible with a demo program.)