houghcircle

说明：  能够按照特定轨迹移动并且变换颜色的长方体(Able to move the color of the rectangular transform)

用verilog实现sobel边缘检测算法(sobel edge detection with verilog language)

说明：  Tent混沌系统的分析图。对就是分析图系列，没错。Tent。。。。。。(The analysis diagram of Tent chaotic system. That's the analysis of the graph series, that's right. Tent)

自己开发的一种点云降噪方法，可以去除物体主体之外的部分的点云数据（物体点云数据为三维扫描仪获得）(A point cloud noise reduction method developed by ourselves can remove part of the cloud data outside the main body of the object (object cloud data is obtained for a three-dimensional scanner))

盲去卷积复原算法，并在MATLAB中进行实验，和维纳滤波的复原效果进行一个对比。盲去卷积的方法有多种，露西-理查德森算法属于图像复原中的非线性算法，与维纳滤波这种较为直接的算法不同，该算法使用非线性迭代技术，在计算量、性能方面都有了一定提升(The blind deconvolution restoration algorithm is carried out in MATLAB and is compared with the restoration effect of Wiener filtering. There are many ways of blind deconvolution. Lucy Richardson algorithm is a nonlinear algorithm in image restoration. Unlike Wiener filtering, this algorithm uses nonlinear iteration technology, and has a certain improvement in computation and performance.)

说明：  利用brisk算法对两张图片进行特征检测，并且实现图像拼接。(The brisk algorithm is used to detect the features of the two images and realize the image mosaic.)

这是个由matlab仿真实现的基于dwt的数字水印技术算法，实现了数字水印的嵌入、提取和一系列攻击实验。效果良好。(This is implemented by the matlab simulation of digital watermarking technique based on dwt algorithm, realization of the digital watermark embedding, extraction and a series of attacks on experiments. Good effect.)

很好用的风能利用系数曲线，对开始学习的同学有帮助(Good use of wind energy utilization coefficient curve, start learning help students)

实现基于四步傅里叶变换的单像素成像，原创，实现论文《基于傅里叶光谱获取法的单像素成像》(Implementation of single pixel imaging based on four step Fourier transform)

1.本程序主要处理BMP位图。 2.为了方便读者学习，程序各步骤都被拆分开实现了，通过点击相应按钮可以看到每个步骤处理的结果。 3.如果是进行人脸识别，需要先打开一幅位图依次进行“人脸检测与定位”操作和“人脸特征标注”操作，然后再打开需要比较的第二幅位图，也是依次进行所有操作，最后进行识别以区分先后两个人脸。(This procedure deals mainly with BMP Bitmaps. 2. In order for the reader to learn, each step of the program is split and the results of each step can be seen by clicking the appropriate button. 3. In the case of face recognition, it is necessary to open a bitmap for "face detection and location" and "face feature tagging" in turn, then open the second bitmap to be compared, and then perform all the operations in turn, and finally identify to distinguish two faces in succession.)