Binary-Thresholding-new-approch

说明：  Forstner算子提取特征点 Forstner算子 提取特征点 (Forstner operator extracting feature points Forstner operator extracting feature points)

基于点目标的自聚焦SAR成像算法!带图形显示!(point target on the autofocus algorithm for SAR imaging! With graphics!)

自适应直方图均衡算法，因为是从从局部入手，所以图像增强效果显著。 (Adaptive histogram equalization algorithm, because from the start from the local image enhancement effect is remarkable.)

说明：  基于Matlab的系列图像处理和显示结果程序，采用主成分分析算法，假定载入系列图像数据后可直接运行得到结果。(Matlab based on a series of image processing and display the results of the procedure, using principal component analysis algorithm, it is assumed that loading series of image data can be directly after the operation results.)

说明：  解决一些图像处理的小问题，具体的划分和问题，文件里有提到(Solve some small problems in image processing)

校正图像倾斜的程序，很好用，可以纠正几何投影变形(Image tilt correction procedures, very good use, you can correct the distortion geometric projection)

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.)

目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。(Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.)

图像位移检测，用于探测前后两张图像相对位移关系，并输出移动后的像素数量(image drift detection)

超分辨率中要使用的分块重叠及恢复，任意像素重合，超简单！(Super-resolution block overlap and recovery, to use in any pixel overlap, super easy!)