精通Matlab数字图像处理与识别

基于小波分析的BPSK的OFDM的分析，将对其的频谱进行分类及预测，(Based on the wavelet analysis of the analysis of BPSK OFDM, will the classification and prediction of the spectrum。 )

说明：  傅里叶分解计算基波有效值相位角和各次谐波的有效值和相位角(Fourier decomposition of computing fundamental RMS phase angle and harmonic RMS and phase angle)

图像拼接 sift 特征点，两幅图像进行拼配 拼接，先找找出特征点匹配(The image stitching， sift feature points, two images blending splicing find someone to identify the characteristics of point matching)

说明：  利用BP神经网络进行图像分割。主要适用于RGB信息丰富的图像。以RGB为BP网络的三个输入，与对应的灰度图对网络进行训练。(The use of BP neural network image segmentation. RGB is mainly applied to information-rich images. BP network to RGB for the three inputs, with grayscale corresponds to the network training.)

采用最小交叉熵，最大熵，OTSU阈值分割(Using minimum cross entropy, maximum entropy, OTSU thresholding)

雷达成像技术中的ISAR包络对齐Mathlab原码(original code of profile aligning for ISAR motion compensation)

平稳移不变小波变换，及图像去噪应用，PSNR, SSIM图像质量评估(stationary wavelet for image denoising)

绣花问题是连续型的填充，在不同区域的缝制过程中，缝针不能提针，因此不能用一般的离散型区 域填充方法处理。本文运用几何计算和图论理论提出了一个绣花缝针轨迹自动生成算法：先对轮廓走向进行 定义，通过轮廓铅垂方向的局部极值点的分割线将图案从上向下进行分割，采用交点的特征值比较彻底的解 决了分割时的重点问题，将图案区域准确的划分成缝针能一次完成的若干个节点。在此基础上根据节点的邻 接关系建立节点的邻接“图”，通过图论中半哈密尔顿路径或深度遍历方法找到节点的遍历（缝制）序列和每 个节点的缝制方向，最后可对设定的起点、终点和缝针间隔的条件自动提供缝针的走向轨迹。(In the process of embroidering, needle can not hang up for changing to a different area. Therefore, Embroider problem could be abstract as a continuous area-filling work. Considering disperse area-filling methods can not process this problem well. Based on geometry computing and graph theory, an algorithm of finding path of embroidering needle are proposed in this paper. First, outline orientations are defined, and finding all local extreme points of inner outline on their gravitational orientation to build sectioning lines so as to divide the picture. By using intersection point character the overlap point problem was solved perfectly. Therefore, the picture is divided into some nodes which can be finished alone. Then, based on connections of these nodes, an adjacency graph of nodes was built. Using half-Hamilton path or depth-first search method, both embroidering sequence and direction of these nodes could be got from the graph. Finally, from a defined start-point, end-point)

光流法是动态背景目标检测的重要方法，介绍了光流法的原理(Optical flow method is a dynamic background target detection method, introduced the principle of optical flow method)

说明：  小波图像融合的6种方法，最大值、局部能量、平均值等等(There are six methods of wavelet image fusion, maximum value, local energy, average value and so on)