target-detection-and-tracking

读取RAW格式文件，将其转换为BMP格式文件并存储(raw 2 bmp file format convert)

该代码实现了sift特征提取，特征点自动匹配，效率较高(The code realizes sift registration)

基于VC++的RGB-IHS 变换实现过程和主成分分析 PCA 实现过程 .(The implementation process based on VC++ RGB-the IHS transform and principal component analysis PCA implementation process.)

CT模型仿真，里面有C还有Matlab文件，均可以使用(CT model simulation with C and Matlab)

图像拼接,可用于全景照机等应用场景 根据图像的特征（可选多种特征，例如SIFT,haar,HOG等征），将两幅或多幅图像无缝拼接起来(Image stitching, can be applied to panoramic photographing, and other application scenarios.)

根据图像的颜色对图像进行分割，里面有多个方法，一种是RGB色彩分割，一种是K均值聚类，还有对视频处理分割，有多个测试图(According to the color image on the image segmentation, there are multiple ways, one is RGB color segmentation, one is the K-means clustering, and video processing division, a plurality of test pattern)

数字图像处理有关于图像去雾的新型算法与实现(There are new digital image processing algorithms on the image to go to the fog and Implementation)

说明：  讲述PS技术的抠图经典问题，帮助你快速熟悉抠图的精华！(PS about the classic problem of technology, matting, matting to help you quickly familiar with the essence!)

图像匹配的实现，其中match.m：测试程序，sift.m :尺度不变特征变换（SIFT算法）的核心算法程序，appendimages.m: 该函数创建一个新的图像分别包含两个匹配的图像和他们之间的匹配对的连接直线，可以运行。 (The realization of image matching, which match.m: test program, sift.m: scale-invariant feature transform (SIFT algorithm) of the core algorithm, appendimages.m: This function creates a new image each consists of two images and matching match between them on the connection line, you can run.)

MATLAB实现图像纹理特征提取：自相关函数法、灰度共生矩阵、分数阶傅里叶变换。GUI界面。运行后可自定义自相关函数的x和y轴偏移，灰度共生矩阵的距离和角度，分数阶傅里叶变换的阶数。输出相应的特征图。(MATLAB realize image texture feature extraction: autocorrelation function method, gray co-occurrence matrix, fractional Fourier transform. GUI interface. After operation, the X and Y axis shifts of the correlation function, the distance and the angle of the GLCM, and the order of the fractional Fu Liye transform can be defined. Output the corresponding feature map.)