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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)

这里的图像增强包括灰度修正、平滑、滤波、锐化等，是图像处理的基本操作，本代码调试通过(Here, including gray-level correction image enhancement, smoothing, filtering, sharpening, etc., is the basic image processing operations, the code debugging by)

一种图像配准算法源码，实现了图像的配准拼接，看看就知道好。(A source image registration algorithm to realize image registration splicing to see will know better.)

说明：  《80例上手Delphi7编程_06图形图像多媒体》书附盘。包括镜框、渐变色、动画、艺术字等图像处理示例。("80 cases easily Delphi7 programming _06 imagery multimedia" book with CD. Including the frame, graded color, animation, art images, such as word processing examples.)

基于svd的数字水印，信噪比比较高(Svd based digital watermarking, can also signal to noise ratio is relatively high)

四个IMAGE窗口，分别对图像进行读取，最大值滤波，最小值滤波及中值滤波。(Four IMAGE window, read the image, respectively, maximum filter, the minimum filter and median filter.)

自己编写的单应性矩阵的求法，按照张正友的论文进行编写的。希望有用。(I have written the homography method, according to Zhang Zhengyou papers prepared for. I hope useful.)

提出了一种基于图像边缘连接的线段检测方法。数字图像中的线段是由很多线段图元组成,在同一 条线段中,它们的方向是相同的并且受到真实线段的方向约束。因此可以通过提取小的线段图元, 然后分析它们 的连接特性, 进行线段的检测。首先用ADM 算法对图像进行边缘检测, 得到单像素宽的边缘 然后在4 个方向上 进行线段的检测 对初步得到的结果进行合并和验证, 去掉短的线段, 连接临近的线段。经过实验证明, 该方法能 够快速地提取图像中的线段,并且对噪声具有一定的鲁棒性(A line segment connecting a detection method based on image edges. The segment of the digital image is composed by many segments elements, their orientation is the same and by the real line segment direction constraint in the same segment. By extracting a small segment Element can then analyze their connection characteristics for the detection of the line segment. First with ADM algorithm for edge detection on the image to obtain a single-pixel-wide edge then in the four directions on the detection of the line segments merger and verification of the preliminary results obtained, removing the short line segments, the line segments connected near. The experiments show that this method can quickly extract the line segments in the image, and certain robustness to noise)

卡尔曼滤波是一种数据处理方法，它是一种线性最小方差无偏估计准则，基于系统 状态估计和当前观测，通过引入状态空间而获得的新的状态估计.本篇论文陈述了卡尔曼滤 波的基本思路和算法；并通过仿真，显示卡尔曼滤波的功能，以及如何用它来跟踪方向确定、速度恒定的飞行器。 (Kalman filter is a data processing method, which is a linear minimum variance unbiased estimation criteria, based on system state estimation and the current observations, obtained by introducing the state space of the new state estimate of the Kalman filter thesis statement the basic ideas and algorithms and through simulation, shows Kalman filtering functions, and how to use it to keep track of the direction determined constant speed aircraft.)

模糊聚类图像分割，还包括spectral clustering及其改进版（按照pr2010某paper）(image segmentation using fuzzy c means & spectral clustering)