matlab

说明：  用数字图像处理方法提取书法特征 实现书法骨架提取(Using digital image processing method to extract calligraphy features)

基于MRF-ICM的图像分割算法基于MRF-ICM的图像分割算法(MRF-ICM-based image segmentation algorithm)

检测图像模糊的算法代码，具体说明详见readme(Fuzzy image detection algorithm code, specific instructions, see readme)

说明：  求解在一个三角形上的任何一点，到另外一点的距离最小的一个点。(solution in a triangle on any point to another point of the smallest distance between a point.)

Canny算子的分步骤实现，基于C语言，一共6部分，学习图像处理参考(Canny operator steps to achieve, based on the C language, a total of 6 parts, the study of image processing reference)

自适应阈值分割代码，比较完整。C++builder编写，可运行/()

电压跌落是最严重的动态电能质量问题之一， 精确定位电压跌落起止时间是应对电压跌落问题的 重要前提和基础。由于电压采样信号往往有噪声分 量，现有的方法在定位电压跌落的起止时间时存在 局限性。本文提出利用多小波变换及相邻系数去噪 的电压跌落定位方法。多小波兼有对称性、正交性、 有限支撑性和二阶消失矩等优异的信号处理性能， 利用GHM多小波可以准确定位电压跌落起止时间。 多小波变换系数在每层之间具有对应关系，多小波 相邻系数将紧相邻的若干个系数作为一个整体来确 定阈值，考虑了系数之间的相关性，能获得更好的 去噪效果。通过 Matlab 进行仿真验证，仿真结果表 明，所提出的方法的正确性。 (Voltage sag is one of the most serious dynamic power quality problems. Critical start-time and end-time are important indices for voltage sags. But the sampling signals often have noisy component, the locations of start-time and end-time are hard to get. Wavelet is an effective tool for those non-stationary signal processing and has been used in this field. Local feature in the signal can be enlarged after the transformation using the scalar wavelet. But scalar wavelets cannot contain orthogonality, symmetry, compact support and higher order of vanishing moments simultaneously. In this thesis, multi-wavelets GHM is used to detect and locate power quality disturbances. Multi-wavelets offer many excellent properties such as the same approximation order but more compact support. The dependence of the multi-wavelets coefficients varies with the level, so neighboring coefficien)

边缘图象分割程序，是使用vb编程，希望有帮助(edge image segmentation procedures, the use of vb programming, with the hope of helping)

利用matlab程序编写的图像分割代码，计算分割后的区域邻接图(Using the image segmentation code written by the matlab program to calculate the neighborhood graph after the segmentation)

主要用于图像处理，局部二值模式，人脸识别方面(Mainly used for image processing, local binary patterns, face recognition area)