数字图像处理_第三版_中_冈萨雷斯

说明：  内容：基于MATLAB的小波变换程序 具体功能：实现四级信号的小波分解和重构(Content: wavelet transform based on Matlab: four level signial wavelet decomposition and reconstruction are implemented.)

BMP和JPEG数据格式的图片读取与写入操作，有完整的代码(BMP and JPEG data format images read and write operations, complete code)

说明：  Fienup的混合输入输出算法，是一种迭代算法，用来求相位的算法HIO(Fienup's hybrid input and output algorithm is an iterative algorithm used to find the phase algorithm HIO)

能量检测法是一种比较简单的信号检测方法[1]， 属于信号的非相干的检测， 直接对时域信号采样值求模，然后平方即可得到；或利用FFT转换到频域，然后对频域信号求模平方也可得到。它无需知道检测信号的任何先验知识，对信号类型也不作限制。 实际上，能量检测是在一定频带范围内作能量积累，如果积累的能量高于一 定的门限，则说明信号的存在；如果低于一定的门限，则说明仅有噪声。能量检 测的出发点是信号加噪声的能量大于噪声的能量。能量检测方法对信号没有作任何假设，是一种盲检算法。 此代码“利用FFT转换到频域，然后对频域信号求模平方”方法来实现对用户的检测。(In fact, energy detection is used for energy accumulation in a certain frequency range. If the accumulated energy is higher than a certain threshold, the existence of the signal is indicated. If the threshold is lower than the threshold, then only noise is indicated. The starting point of energy detection is that the energy of signal plus noise is greater than that of noise. The energy detection method does not make any assumptions about the signal, and it is a blind detection algorithm. This code "converts the frequency domain into the frequency domain by FFT, then calculates the square of the square of the frequency domain signal" to realize the detection of the user.)

一个基于matlab的车牌定位的原程序.可以实现精确的车牌定位。(a Matlab-based positioning of the license plate of the original procedure. Can achieve precise positioning of the plates.)

sar 图像定标程序，由灰度值计算后向散射系数(sar image calibration)

pca特征提取子程序，毕设用的，算法优化非常好，几乎没有循环，相当节省时间，堪称经典，运行绝对正确！！(pca feature extraction subroutine, used to complete set up, very good algorithm, almost no circulation, saving considerable time, classic, run absolutely right! !)

用画笔绘制圆角矩形，椭圆，饼形，并用不同颜色画刷进行填充。(Draw a rounded rectangle, ellipse, pie with a brush, and brush with a different color fill.)

很好用的svm工具箱，dagsvm对于图像分类效果非常好，分类精度很高，代码清洗简单。(Good use of SVM Toolbox, dagsvm for image classification effect is very good, very high classification accuracy, code cleaning easy.)

针对目前工业制造领域面临的难题,提出利用非量测数字摄像机进行工业钣金件高精度三维重建与视觉检测.采用二维直接线性变换分解摄像机参数初值并结合光束法平差进行高精度标定 利用最小二乘模板匹配提取像面上的点、直线信息并进行混合光束法平差,从而进行钣金件的高精度三维重建及其尺寸制造误差的检测.所开发的视觉检测系统硬件成本低、自动化程度较高,实际数据的多次实验均取得了优于1/8 000的相对精度,说明所论述的方法为工业零件的自动化三维检测提供了一条可行途径.(View of the current challenges facing the field of industrial manufacturing, made use of non-metric digital camera precision sheet metal parts for industrial reconstruction and visual inspection. Using two-dimensional direct linear transformation and the decomposition of initial parameters of the camera bundle adjustment with high accuracy calibration extracted by the least square template matching, like the surface of point, line information and mixed bundle adjustment to the three-dimensional reconstruction of high-precision sheet metal parts and the size of the detection of manufacturing errors. visual inspection system developed by the hardware low cost, high degree of automation, the actual data, many experiments have achieved better than 1/8000 of the relative accuracy, that the methods discussed in the automation of industrial components to provide a feasible three-dimensional detection approach.)