kmeans1

根据RBM深度网络（Hinton，2006）进行MINST手写文字的分类器的训练，利用训练得到的权值制作了这个小程序，通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别，但是对其他的手写字体识别就没有那么好了。(According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the right value to produce this small program, this program can be seen through the results of the training data set and the training sample test samples are can be well identified, but on the other handwriting recognition is not so good.)

说明：  WAVEPASTE将系数放在小波分解结构中。(WAVEPASTE Puts coefficients in a wavelet decomposition structure.)

计算灰度共生距的matlab源代码Haralick Texture Features Matlab Toolbox v0.1b(Calculation of gray symbiotic matlab source code from the Haralick Texture Features Matlab Toolbox v0.1b)

有关图像的目标识别："给出一种基于特征分类辨识的合成孔径雷达图像目标检测方法#用恒虚警和扩展分形方法对3&E图像进行目 标检测后用面积和峰值能量比算子辨识目标和背景杂波!去除一部分虚警!用小波域主成分分析对每个检测窗口内的图 像提取特征向量!用支持向量机对提取得到的特征向量进行分类!辨识目标和背景杂波!完成目标检测#使用&K?3数 据对该方法进行验证和分析!实验结果表明!经过特征分类辨识后!在检测率不变的情况下!虚警数目显著降低# (Related to the image target recognition)

Zernike矩用MATLAB代码实现,希望对Zernike矩的朋友有所帮助。(Zernike moments code under MATLAB)

图像逆透视变换的示例，用于合成360度全景俯视图。(An example realizes the image processing of Inverse Perspective Mapping, which is used in composing 360 panorama planform.)

说明：  基于区域的分裂合并图像分割方法，包含三个m文件，predicate是分裂合并准则代码，split_test用于检测是否需要分裂，splitmerge用于分裂合并(Region Based Split Merge image segmentation method, including three m files, predict is the splitting and merging rule code, split_ Test is used to detect whether splitting is needed, and splitmerge is used for splitting and merging)

说明：  采用haar小波实现二维图像的分解与重构（mallat算法）：(Two-dimensional image using haar wavelet decomposition and reconstruction (mallat algorithm):)

光线跟踪，计算机图形学的实验，实现的是消隐，光线之间的遮挡等(Ray-tracing, computer graphics experiments, realize that the hidden light, such as between the block)

高斯平滑滤波实例，高斯滤波实质上是一种信号的滤波器，其用途是信号的平滑处理，我们知道数字图像用于后期应用，其噪声是最大的问题，，由于误差会累计传递等原因，很多图像处理教材会在很早的时候介绍Gauss滤波器，用于得到信噪比SNR较高的图像（反应真实信号）。 (Instance of the Gaussian smoothing filter, Gaussian filter is essentially a signal filter, its purpose is to smooth processing of the signal, we know that the digital image for the late application, the noise is the biggest problem, the error accumulated transfer reason, a lot of image processing textbooks will be introduced at an early Gauss filter for higher SNR of the image (real response signal).)