HOGforall

提出一种基于小波变换的图像配准方法。该方法首先用小波变换提取边缘特征点, 同时构成小波金字塔影像。在最高层利 用角度相关系数确定基准图像和配准图像之间的旋转角度, 经多分辨分级搜索匹配得到最终匹配特征点对, 利用这些特征点对待 配准图像进行配准纠正。实验结果表明, 改进方法有较好的效果, 可用于广泛应用领域。(Proposed a wavelet-based image registration method. In this method, using wavelet transform to extract the edge feature points, the same time constitute wavelet pyramid image. Point at the highest level the correlation coefficient using the baseline image registration between image and the angle of rotation, the multi-resolution hierarchical searching and matching features of the final match point, the use of these features point towards registration image registration correction. Experimental results show that the improved method has better results, can be used for wide range of applications.)

使用regionprops中BoundingBox功能对图片进行处理获得X,Y的坐标值以及长宽度(Use regionprops the BoundingBox of the image processing functions to obtain X, Y coordinate values and long-width)

对图片预处理加入高斯噪声，各种经典边缘检测算子对图像进行边缘提取(Gaussian noise on the image pre-processing, a variety of classic edge detection operator to extract image edge)

一种改进的基于整合空间的模糊聚类的水平集分割方法，分割效果比较好(An improved integration of space-based level set of fuzzy clustering segmentation, segmentation is better )

介绍了当前谐波检测的主流的几种技术，包括瞬时无功功率理论，自适应检测理论，傅里叶变换理论等，并做了相应的建模分析(Introduced the mainstream of current harmonic detection of several techniques, including instantaneous reactive power theory, adaptive detection theory, Fourier transform theory, and do the corresponding modeling analysis)

使用K-L算法进行人脸识别，在经典的算法基础上加上了正确率统计模块，对正确率的分析很有帮助( 分析很有帮助 Implement face recognition Using K-L algorithm, Added the rate of correct module to the classical algorithm, It s helpful to analysis the rate of correct.)

说明：  用来做小波分析，开源程序，可画出小波功率谱，小波全谱，程序中有参考文件的网址，非常方便·新手使用(Used to do wavelet analysis, open source program, can draw the wavelet power spectrum, wavelet full spectrum, the program has a reference file of the website, very convenient for beginners to use)

实现图像拼接,好用，又容易实现，广大好友多多支持与指导！(very good!)

说明：  在稀疏域中，基于迭代阈值的线性反转问题，Daubechies 的经典外文文章，用于压缩感知(In the sparse domain, iterative threshold-based linear inversion problem, Daubechies classic foreign language articles for compressed sensing)

最小交叉熵图像分割源代码（原创）.相关参考文献见源代码。(source code for the minimum cross-entropy thresholding algorithm)