svdandpca

高分辨率及新模式SAR的成像算法，含有圆轨迹快速成像和压缩感知等内容(High resolution and the new mode of SAR imaging algorithm, containing circular trajectory fast imaging and compressed sensing and other content)

对二维码图像进行灰度化、中值滤波、二值化、边缘检测、霍夫变换等预处理(The two-dimensional code image is grayscale, median filter, two valued, edge detection, Hough transform and other pre-processing.)

基于边缘检测的迭代分水岭分割算法源码(内附图片等)(Image Segmentation Using Iterative Watersheding Plus Ridge Detection)

对整幅三维影像数据进行Butterworth高通滤波处理（10阶2次），先进行傅里叶变换，利用巴特沃斯高通滤波器数学模型进行变换，在傅里叶逆变换得到新数据(For the entire three-dimensional image data Butterworth high-pass filtering (10-order twice), the first Fourier transform, use Butterworth high-pass filter to transform the mathematical model, the inverse Fourier transform to obtain new data)

说明：  计算BBO晶体一类匹配时随非共线角变化的相位匹配角(Calculating the phase matching angle of BBO crystal with non-collinear angle)

视网膜图像的归一化Matlab源代码程序(retinal images to a source of Matlab procedures)

曲面拟合法是一种高精度、计算量小、抗噪性能强的方法，当前已被广泛地应用于 各种场景。比如岩石材料的变形测量、电子器件变形的测量、基于掌纹图像相关匹 配的重复定位技术等。曲面拟合法能够成功计算出亚像素位移的前提是整像素搜索阶 段可以正确搜索出模板的整像素匹配点，一旦整像素匹配点搜索出现错误，那么亚像素 测量阶段所得到的位移距离就会失去意义。 使用不同的拟合函数对相关系数矩阵进行曲面拟合，会对结果产生一定的影响，比 较常用的拟合函数有二次函数、三次函数、高斯函数等。(Surface fitting method is a high-precision, computational complexity is small, strong anti-noise performance method, has been widely used in various scenes. For example, deformation measurement of rock materials, deformation measurement of electronic devices, and repetitive location technology based on palmprint image correlation matching. Surface fitting method can successfully calculate the sub-pixel displacement on the premise that the whole pixel search stage can correctly search the template of the whole pixel matching point, once the whole pixel matching point search error, then the sub-pixel measurement phase of the displacement distance will be meaningless. Using different fitting functions to fit the surface of the correlation coefficient matrix will have a certain impact on the results. The commonly used fitting functions are quadratic function, cubic function, Gaussian function and so on.)

实现对无噪声一维和二维信号的解缠，比较简单，入门级别(The realization of noise free one-dimensional and two-dimensional signal unwrapping is relatively simple, entry level.)

说明：  《数字图像处理（第三版）》课后习题答案，作者冈萨雷斯(Answers to Exercises after Class of Digital Image Processing (Third Edition),author Gonzalez)

工具条图标产生器，可以产生各种工具条图标(Toolbar icon generator, can produce a variety of toolbar icons)