归档

本篇论文主要介绍地基云的自动检测！采用阈值分割！(This paper describes the automatic detection of the foundation of cloud! Using thresholding!)

去除图像中的噪点，恢复原始图像的清晰程度。主要用于书页扫描(Removal of Facial Image and restore the original image clarity. Mainly used for scanning pages)

实现非均匀傅里叶变换代码，可用于石油地震勘探、航空航天、图像处理，电子电工方向。(Achieve non-uniform Fourier Transform code, can be used for seismic exploration, aerospace, image processing, electronics and electric direction.)

对输入的一张彩色图像，自己写代码实现Harris Corner 检测算法： 1. 不能直接调用OpenCV 里面与Harris 角点检测相关的一些函数； 2. 只能用C/C++，不能用其他语言； 3. GUI 只能用自带的HighGUI，不能用QT 或其他的； 4. 平台可以用Windows， Linux, MacOS； 5. 显示中间的处理结果及最终的检测结果，包括最大特征值图，最小特征值图，R 图（可以考虑彩色 展示），原图上叠加检测结果等，并将这些中间结果都输出成图像文件； 6. 命令格式： “xxx.exe 图片文件 k 参数(=0.04) Aperture_size(=3)”。(The input of a color image, write your own code to achieve Harris Corner Detection Algorithm: 1. Can not be called directly inside OpenCV some functions associated with the Harris corner detection 2. To only use C/C++, can not be used in other languages 3. GUI only with their own HighGUI, can not use QT or other 4. The platform can be used Windows, Linux, MacOS 5. Display intermediate and final results of the test results, including the largest eigenvalues diagram, the minimum feature value graph , R chart (you can consider color display), picture superimposed on the test results, etc., and these intermediate results are output as an image file 6. Command Format: " xxx.exe picture file k parameters (= 0.04) Aperture_size (= 3 ). " )

数字水印嵌入、提取算法(Digital watermark embedding, extraction algorithm)

在已知高度的情况下利用单目视觉摄像头来进行定位。(Positioning with a monocular vision camera at a given height)

这是一个结合全局-局部图像对比度增强程序。首先使用全局对比度增强，然后使用局部对比度增强。程序中的参数是经过导师修改过的。文件中给出了原论文。对图像有一定的增强效果，仅供参考。(This is a combination of a global- local image contrast enhancement program. First, using a global contrast enhancement, and then use the local contrast enhancement. Program parameters are modified through mentor. Shows the original paper document. There is a certain image enhancement for reference purposes only.)

手指照片的特征点提取程序与算法，从而进行手指指型的匹配(Finger pictures of Feature Points Extraction procedures and algorithms, which refers to a finger-type matching)

Labwindows/CVI实现了常见的数字图形处理算法，如滤镜，正交表换 边缘检测等(Common digital graphics processing algorithms, such as filters, orthogonal change of edge detection)

时隙 ALOHA（Slotted ALOHA）算法是在纯ALOHA 算的基础上将时间分成了多个离散的时隙，被分割成的时隙的长度要大于标签所携带数据信息帧的长度(Slot ALOHA (Slotted ALOHA) algorithm is based on pure ALOHA time will be counted into the slot more discrete, divided into the slot length is greater than the length of the data label information carried by the frame)