548denoise-labview

运用最小二乘方法的matlab影像匹配，经典算法(MATLAB image matching using least squares method, classical algorithm.)

超分辨率图像处理从几幅图象中提取像素合成新的比较清晰的图像(Super-resolution image processing to extract images from a number of new synthetic pixel images clearer)

使用PCA和SVD进行数据去噪，利用数据主要的特征向量进行数据恢复和重建(Using PCA and SVD for data denoising)

基于多分辨率的NSST变换工具箱，用于图像融合效果好，且速度优于NSCT。(Based on Multi-resolution NSST conversion kit for image fusion effect is good, and the speed is better than NSCT.)

实现dicom图像的窗宽窗位调节和边缘提取(Window width adjustment and edge extraction of DICOM image)

利用HOG算子提取特征，利用支持向量机进行分类，得到了较好的图像分割效果(Using HOG operator to extract features, using support vector machine to classify, get a better image segmentation effect)

计算一个封闭区域的最小外接矩形的matlab代码。(calculate the minest rect of area)

通论算法，给人脸做重构处理，进一步完成人脸的样本稀疏化，还能更好的重构人脸。(The General Theory of algorithms, giving face to do reconstruction processing to complete further thinning of face samples, but also to better reconstruct the face.)

网格简化， 将复杂的带有很多细节的物体的三维立体网格进行任意比例的简化，使得其减少点和面片的数量并保持物体的基本特征，以达到加快图像显示及压缩文件的效果。(Mesh simplification, the complex three-dimensional grid with many of the details of the object simplified in any proportion, such that it reduce the number of points and surfaces of the sheet and keep the basic characteristics of the object, in order to achieve the speed up of the image display and the effect of the compressed file .)

canny边缘检测的matlab实现，用到了基于Otsu算法的自适应阈值选取(canny edge detection)