matlab_face_detection

完成了对车道线进行了识别，主要流程为灰度化，边缘检测，hough变换。(We completed the lane line identification, the main process of graying, edge detection, hough transform.)

基于学习字典的方法进行彩色图像修复 字典学习方法用FastICA(INPAINTING COLOR IMAGES IN LEARNED DICTIONARY )

图像匹配最新的源码 matlab 适合初学者和进阶者作者hongshengli (The latest source of image matching matlab for beginners and advanced by Author hongshengli)

代码中包含在MATLAB中实现DICOM文件的VOILUT感兴趣区域转换。将DICOM文件的数据重新存储为PNG格式的灰度图像。打开一个文件夹的DICOM文件并将其存储在另一个文件夹中以PNG格式储存。(Included in the MATLAB code to implement DICOM files VOILUT region of interest conversion. The data will be re-stored DICOM files in PNG format, grayscale images. Open a folder and stored in the DICOM files to another folder in PNG format.)

实现了图像的加水印，去噪，加噪声等功能，小波包分析提取振动信号中的特征频率，是机器学习的例程。( Realize image watermarking, de-noising, plus noise and other functions, Wavelet packet analysis to extract vibration signal characteristic frequency, Machine learning routines.)

先将字符串转化为像素图，再将像素图还原成二维数组。将二位数组转化为布尔数组。然后用一个顺序结构，第一帧放入比较程序，即显示汉字并闪烁程序。第二帧循环移位程序。第三帧屏幕关闭程序。(First string into a pixel map, and then reduced to a two-dimensional array of pixel map. The two-digit group into a Boolean array. Then a sequential structure, comparing the first frame into the program, the program that displays characters and flashes. The second frame cyclic shift procedure. The third frame of the screen to close the program.)

实现数字图像的灰度范围的线性拉伸，对变换结果进行必要的分析，画出灰度变换曲线图，以另一个文件名形式保存灰度变换后的图像。(Achieve linear range of the gray range of digital images)

三个很好的程序，有染色体的识别，车牌跟踪，还有神经网络设计，肯定是非常好的，希望大家从中学习(Three very good procedures, there are chromosome recognition, license plate tracking, as well as neural network design, is certainly very good, I hope you learn from)

说明：  基于Retinex算法的单尺度图像增强算法。(An image enhancement algorithm based on RETINEX theory.)

说明：  用PALKING模糊方法进行边缘检测，还有3个自适应改进方法(PALKING fuzzy method with edge detection, there are three adaptive Improvement)