zhang

说明：  基于小波变换的图像融合，可实现两幅图像的融合，融合规则可自定义(Image fusion based on wavelet transform can realize the fusion of two images, and the fusion rules can be customized)

一种有效的匹配滤波估算地层品质因子的方法，精度较高，稳定性较好，值得借鉴(A kind of effective method of matched filtering to estimate formation quality factor, high precision, good stability, is worth using for reference)

Digital Image Processing writed by Gonzalez second edition of the Chinese version

说明：  XYZ视频图像压缩编码的应用原理与实际生活应用 (XYZ video image compression encoding)

基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述、KDtree匹配等关键步骤的全部函数实现，对全面深入理解Lowe的SIFT算法有莫大帮助。程序运行前须安装（1）OpenCV: http://opencvlibrary.sourceforge.net （2）SIFT: http://web.engr.oregonstate.edu/~hess/index.html，并配置其环境参数。(OPENCV the SIFT-based feature extraction and matching algorithm. Contains a complete Gaussian pyramid from the image, DOG, space extremum point extraction, description of key points, KDtree matching key step in the realization of the full function of the comprehensive and in-depth understanding of Lowe s SIFT algorithm of tremendous help. Program to run before the installation of (1) OpenCV: http://opencvlibrary.sourceforge.net (2) SIFT: http://web.engr.oregonstate.edu/ ~ hess/index.html, and configure the parameters of their environment.)

NSCT的分解与重构，用于图像处理，里面为非下采样轮廓波的工具箱(NSCT decomposition and reconstruction for image processing, which is a toolkit for subsampled contourlet)

说明：  Z源逆变器开路三相SVPWM调制，注入了三次谐波分量。(Open-circuit Three-phase SVPWM Modulation of Z-source Inverter)

详细描述了中心差分法的原理，并举例说明的中心差分法的应用(The principle of the central difference method is described in detail and examples illustrate the application of the central difference method)

此程序为计算雷达目标特性角闪烁特性的函数代码(computing the anglar glint)

模糊集图像增强：设计隶属度函数将图像从空间域变换到模糊集域；设计模糊增强算子，在模糊集域对图像进行处理；根据隶属度函数重新将图像从模糊集域变换到空间域。(Fuzzy image enhancement: Designing the membership function of the image from the spatial domain to the fuzzy set domain design fuzzy enhancement operator in fuzzy set domain for image processing membership function according to re-image from the fuzzy set domain to the spatial domain .)