target-training

Metaface Learning for Sparse Fisher Discrimination Dictionary Learning for Sparse Representation

使用ROEWA算子对有噪声SAR图像进行边缘检测(Use ROEWA operator of noise SAR image edge detection)

关于Bayes分类器的 实验数据都有 大家相互共享 很好用的软件(Bayesian classifier on the experimental data we have very good mutual sharing of software)

这是我的课程设计作业，作用是测试车流量，对车辆进行定位分割，已验证成功内附测试视频(This is my course design work, the role is to test the traffic flow, the vehicle positioning and segmentation, has been successfully included in the test video)

说明：  基于DWT域的脆弱水印，上数字图像处理课的大作业(Fragile watermarking based on DWT, digital image processing course)

这是一个图像处理时用到的程序 可作为图像处理用非常有价值(This is an image processing procedures can be used as image processing with very valuable)

下面给出了48项泽尼克多项式，外加一项常数项。需要注意的是，读者并不需要严格按照下文所示的顺序排列这些泽尼克项，实际上在不同的应用和机构会采用不同的排列顺序。 表中的#0项是个常数或者说是平移项（piston term），这一项的系数也代表了平均光程差；而#1和#2项分别是x和y方向的倾斜项（tilt terms），#3代表了聚焦，因此，#1到#3项代表了波前的高斯或者近轴特性；#4和#5项代表了像散和离焦，#6和#7项代表彗差和倾斜，而#8项代表了3级像差和离焦，也就是说#4到#8项为3级相差项；同样地，#9到#15项代表了5级像差，而#16到#24项代表了7级像差，#25到#35项代表了9级像差，#36到#48项代表了11级像差。(Here are 48 Zernike polynomials, plus a constant term. It is important to note that the reader does not need to strictly arrange the Zernike entries in the order shown below, but in fact different orders of arrangement are applied to different applications and institutions. Table #0 is a constant or a shift (piston term), a coefficient of this term also represents the average optical path difference; while #1 and #2 are inclined X and Y direction (tilt terms), #3 represents the focus, therefore, #1 to #3 on behalf of the wavefront. Gauss or paraxial properties; #4 and #5 represent the astigmatism and defocus, #6 and #7 represent coma and tilt, and #8 represents the 3 order aberration and defocus, that is to say #4 to #8 is 3 level difference; similarly, #9 to #15 on behalf of the 5 order aberration #16 and #24, to represent the 7 level #25 to #35 aberration, on behalf of the 9 #36 to #48 aberration, on behalf of the 11 order aberration.)

matlab 程序 运用霍夫椭圆检测原理，进行霍夫椭圆检测，识别图像中的椭圆圆(matlab program using Hough ellipse detection principle for Hough ellipse detection, identification image Ellipse Circle)

this is a project about animation. how do we form the shape to make it look like car, house abd so on. with the colours that wee like and the movement.

粒子滤波重采样方法实现程序，包括随机重采样、多项式重采样、系统重采样、残差重采样程序(Particle filter resampling method procedures, including random resampling, resampling polynomial system resampling, residual resampling procedure)