edge-detectinterpolation

图象分割程序：先用梯度函数进行边缘检测,然后二值化后分割图象(Image segmentation process: first the gradient edge detection function, and then after binarization image segmentation)

利用误差扩散算法中的Floyd-Steinberg抖动算法来对图像进行二值化处理，从而方便图像调频加网输出(The use of error diffusion algorithm of Floyd-Steinberg dithering algorithm to image binarization treatment, thus facilitating image output FM Screening)

牛顿环的干涉条纹，灰度图，含有反射图样和透射图样(Newton' s rings interference fringes, grayscale, with reflection and transmission pattern pattern)

说明：  利用HOG算子实现电脑读取图像并进行面部识别与检测(Using hog operator to realize computer reading image and face recognition and detection)

用matlab实现的c均值聚类算法，用于图像分割，分割效果很好(Matlab achieved with c-means clustering algorithm for image segmentation, segmentation well)

图像分割中的分水岭算法实现--图像灰度变化--图像增强--多维图像(Watershed image segmentation algorithm image change image enhancement multi-dimensional image)

图像倒频谱生成并分析，可以用于运动模糊图像的PSF参数估计(Cepstrum image generation and analysis, can be used for motion-blurred image PSF parameter estimation)

GDI实例3，绘制圆形、矩形等图形

提出一种基于特征点的运动场景图像拼接算法。基于相似变换消除选取在运动物体上的特征点，并使用RANSAC算法进行外点的剔除。在融合阶段，根据齐次变换矩阵求得对2幅图像的差异图像，并执行区域增长算法。从而分割出运动区域。使用一种分段映射算法生成全景图像。实验证明了算法的有效性。(A feature-based algorithm for image mosaics of 8c宅Iles with moving objects is pI．oposcd．The algorithm eliminates the feature points which arc selected in moving objects using similarity transform，and the outliers are eliminated using RANSAC algorithm．In the image blend phase，a difference of two images is created using homogeneous transformation matrix，and a region growth algorithm is implemented SO as to segment the movmg object region．A piecewise mapping algorithm for generating panoramic images is used．Experimental results show the effectiveness of the algorithm．)

目前MATLAB里边对于多点计算仿射矩阵普遍采用RANSAC法，但是比较麻烦计算量也相对较大，通过最小二乘法来进行仿射矩阵的估计能够大大提高该效率，所以奉上自己在实验室写的仿射矩阵估计函数，来弥补matlab函数库在这方面的不足。(The MATLAB inside for calculating affine matrix commonly used RANSAC method, but more trouble calculation is relatively large, estimated by the least squares method to the affine matrix can greatly improve the efficiency, so give yourself in laboratory to write the estimated affine matrix function, to compensate for the lack of MATLAB Library in this area.)