fuse_method

AForgeNet 是基于.net框架使用C#高级面向对象语言设计开发的专门为开发者和研究者学习和使用的开源图像处理类库，包括计算机视觉与人工智能，图像处理，神经网络，遗传算法，机器学习(AForgeNet is an open source image processing class library designed and developed for developers and researchers based on. net framework using C # advanced object-oriented language. It includes computer vision and artificial intelligence, image processing, neural network, genetic algorithm and machine learning.)

加州理工经典的摄像机标定程序，张正友博士的文章算法(The camera calibration program of the California Institute of Technology, the article algorithm of Dr. Zhang Zhengyou)

本程序用于计算图像相似性,计算图像的7个不变矩，包含图像、源程序、网上的说明(3D_Moment_Invariant)

此FCM-PSO是对于FCM的改进，用于图像分割，效果好。(it is an improvement on FCM for image segmentation)

使用Bregman算法做MRI图像压缩感知(MRI using the Bregman algorithm to do image compression-aware)

说明：  本算法包括区域生长法和形态学后处理算法，功能实现了皮肤镜图像的病变区域分割，准确度很高，后处理算法对原图的影响很小；(This algorithm includes region growing method and morphological post-processing algorithm. It can segment the lesion area of dermoscopic image with high accuracy, and the post-processing algorithm has little influence on the original image.)

a.牌照定位，定位图片中的牌照位置； b.牌照字符分割，把牌照中的字符分割出来； c.牌照字符识别，把分割好的字符进行识别，最终组成牌照号码。 (a. License Plate Location, location location of the picture of the license b. Character Segmentation license to license the characters split up c. license character recognition, to split a good character to identify the final composition of license number. )

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)

利用各种向量函数实现matlab中对于图像特征的识别(image recognition)

说明：  该代码能实现图像缩放功能，简单，容易理解(The code to achieve the image zoom feature, simple, easy to understand)