▍1. ihcqb
图象的处理,Image processing Image processing(Image processing, Image processing Image processing)
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▍2. souhan_v32
esprit算法对有干扰的信号频率进行估计,一种基于多文档得图像合并技术，搭建OFDM通信系统的框架。( esprit algorithm signal frequency interference can be assessed Based on multi-document image obtained combining technique, Build a framework OFDM communication system.)
▍3. gtcgdwh
vc编写数字图像处理的程序,其中有图像处理的各种方法的程序(Vc write a digital image processing program, including the various methods of image processing program)
▍4. VCPPDigital-image-processing
VC++Digital image processing
▍5. ph-detective
比较好的东西，留着待用，可用于水质检测的测量参考~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~(Good stuff, keep aside ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~)
▍6. main
图像亮度和对比度调节，已验证，分别有亮度调节和对比度调节的调整框(Image brightness and contrast adjustment, has been verified, respectively, brightness adjustment and contrast ad)
▍7. defect-detection
内含完整基于图像处理的缺陷检测源代码，可以直接运行(Including a complete defect detection based on image processing source code can be directly run)
▍8. CSharpGetInit
海康威视摄像头二次开发，C#测试代码，用于获取设备能力(c#for hikvision getinit)
▍9. pjbz
图像质量评价，计算两幅图像的保真性，鲁棒性 ，结构相似性 (Image quality assessment，calculate the fidelity ，robust and structural similarity of the image，)
▍10. guass_fliter_pic
高斯滤波算法，可用于模糊图片，除掉图片中的高频噪声(gauss fliter to remove high frequency noise for pic )
▍11. yunlai
在vs平台下利用opencv程序，可以处理图像的膨胀、腐蚀以及开闭运算。(Availability v Understanding use of open platform opencv degree, permissible processing, swelling, corrosion and opening and closing operation)
▍12. gxty
一种光学测试的算法，有助于全面分析激光大气传输特性及其对光电系统性能的影响，希望对大家有帮助哦(An optical testing algorithm, which helps to fully analyze the characteristics of laser propagation in the atmosphere and its impact on the performance of photovoltaic systems, we want to help oh)
▍13. two
：植物种类识别方法主要是根据叶片低维特征进行自动化鉴定。然而，低维特征不能全面描述叶片信息，识别准确率低，本文提 出一种基于多特征降维的植物叶片识别方法。首先通过数字图像处理技术对植物叶片彩色样本图像进行预处理，获得去除颜色、虫洞、 叶柄和背景的叶片二值图像、灰度图像和纹理图像。然后对二值图像提取几何特征和结构特征，对灰度图像提取 Hu不变矩特征、灰 度共生矩阵特征、局部二值模式特征和 Gabor 特征，对纹理图像提取分形维数，共得到 2183 维特征参数。再采用主成分分析与线性 评判分析相结合的方法对叶片多特征进行特征降维，将叶片高维特征数据降到低维空间。使用降维后的训练样本特征数据对支持向量 机分类器进行训练(plant species identification method is mainly based on blade automatic identification of low dimensional characteristics.However, can not fully describe blade low-dimensional feature information, identification accuracy is low, in this paper A kind of plant leaves recognition method based on multiple feature dimension reduction.First by digital image processing technology to the plant leaf color sample image preprocessing, obtain background color removal, wormhole, petioles, and the blades of a binary image, gray image and texture image.Then the binary image to extract the geometric characteristics and characteristics of structure and characteristics of gray image extraction Hu moment invariants, gray co-occurrence matrix feature, local binary pattern features and Gabor, to extract the fractal dimension of texture image, get 2183 d characteristic parameters.By principal component analysis and linear uation analysis method of combining the characteristics of blade more feature dimensi)
▍14. qiuyuanmianhejuxingmianji
这块程序是用来求取圆面和矩形面积的，分为几个子程序。(This procedure is used to strike a round face and a rectangular area, divided into several subroutines.)
▍15. DarkChannelPrior
目标物与摄像机距离已知的情况下，计算白天大气能见度距离。(The distance between the object and the camera is known to calculate the visibility distance in daytime.)
▍16. afdpf
正反馈主动频率偏移法，是应用于孤岛检测的一种算法，可以减小检测盲区，加快孤岛检测速度(Positive feedback active frequency offset method is an algorithm used in islanding detection)
▍17. src
基于C++的人脸分割的设计，C／Ｃ++语言、数字信号处理，最好选修过“数字图像处理”。(Based on the C++ face segmentation design, C/C++ language, digital signal processing, the best elect digital image processing.)
▍18. Hough
Detecting ellipses on a camera source with Hough transform
▍19. db4-lifting-wavelet-decomposition
db4小波的提升小波分解，从已发表的论文中得来，可放心使用(db4 wavelet lifting wavelet decomposition, the published papers come, you can be assured)
▍20. edge-detection
程序包括三种经典的边缘检测方法，均可独立运行，参数可调(Program includes three classical edge detection methods can be run independently, adjustable parameters)
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