▍1. chepaishibie
基于matlab的语言的汽车牌照显示，其中内容主要是和数学形态学相关的操作。(Matlab language based on license plate display, which were mainly related to the operation and mathematical morphology.)
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▍2. points-clouds-
matlab图像处理代码，利用算法对点云数据进行直方图以及标准差统计，含M文件和GUI(matlab image processing code, the use of algorithms for point cloud data, histograms and standard deviation statistics, including documentation and GUI M)
▍3. a
说明： ：基于主动轮廓识别和被动轮廓识别方法各自的优缺点，提出结合主动和被动的方法，先对图像进行被动轮廓的预处理，然 后再应用主动轮廓的方法，通过比较选出Canny算子进行预处理，再通过基于概率的方法分割图像，最后再应用Snake模型进行 轮廓提取。并取得较好的应用。(: Identification Based on Active Contour and passive contour recognition advantages and disadvantages of each method, proposed method of combining active and passive, passive first outline of the image pre-processing before applying the active contour method, by comparing the pre-selected Canny operator treatment, and then through the image segmentation method based on probability, and finally application of Snake model for contour extraction. And get better application.)
▍4. subbands
图像经过小波变换之后提取子带系数源代码在MATLAB中的实现(subbands in matlab)
▍5. USFFTCurvelet
提出了一种结合USFFT Curvelet 变换的各向异性扩散图像去噪模型。它有机结合了Curvelet 变换和各向 异性扩散（P-M扩散）两者的优点。通过P-范数方法选择合适的梯度阈值K，P-M扩散过程通过处理经过Curvelet 变换得到的图像的不同尺度的Curvelet 系数矩阵，实现了建立在对图像多尺度分析的基础上的新P-M扩散模型。 实验表明，新模型的处理结果能有效避免传统P-M 扩散出现的阶梯效应，同时更好地保留图像的纹理和细节。 关键词：图像去噪算法；各向异性扩散；Curvelet 变换；P-M 扩散(Abstract: An image de-noising model by integrating anisotropic diffusion with USFFT Curvelet transform was proposed, which combined the strongpoint of Curvelet transform with anisotropic diffusion (P-M diffusion). By choosing appropriate gradient threshold K through p-norms and carrying out the P-M diffusion process depend on the different scale matrixes of Curvelet coefficient of the image from Curvelet transform iterations, as a result, the improved model made it possible to carry out the new P-M diffusion de-noising process based on multi-scale analysis of the image. The experiment results have demonstrated that the model can avert the stair-casing effect in the traditional P-M diffusion effectively and keep the textures and details of images better.)
▍6. Digital-Image-Processing-radon-Code
数字图像处理radon+matlab变换算法代码(Digital image processing algorithms transform radon+ matlab code)
▍8. experiments
上课的课程：数字图像处理，同Labwindows/CVI实现的多个小程序，分别有：多种函数曲线的生成、多种函数曲线的生成并显示极值、二值图像的边缘追踪、二值图像的形态学处理、根据直方图选择阈值、灰度变换、均值滤波、粒子图像分析、图像的边缘检测、正弦曲线生成、直方图均衡化、直方图显示、中值滤波、自动计算阈值。(Class courses: digital image processing, Labwindows/CVI realize with multiple small program, a variety of function curve respectively, the generation, multiple function curve and display the extremum, generated binary image edge tracing, binary image histogram morphology processing, according to the choice threshold, gray transformation, average filtering, particle image analysis, image edge detection, sine curve generation, histogram equalization, histogram display, median filtering, automatic computing threshold.)
▍9. Texture
灰度共生矩阵 图像纹理特征提取 matlab语言编写(GLCM texture feature extraction matlab language)
▍10. Real-Time-Image-and-Video-Processing
一本讲述计算机图像和视频实时处理的好书。包括基本概念，硬件，软件，和算法。 (A book about real-time image and video processing, including basic concepts, hardware, software, and algorithms.)
▍12. inexact_alm_rpca
RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。目前最有效的算法是ALM（Augmented Lagrange Multiplier）。ALM分为Exact ALM和Inexact ALM。 该代码是Inexact ALM，收敛速度比Exact ALM快！(RPCA (Robust Principal Component Analysis) is used for matrix filling, image denoising. It is currently the most effective optimization method. Currently the most effective method is ALM (Augmented Lagrange Multiplier). There re 2 kinds of ALM: Exact ALM and Inexact ALM. The code is Inexact ALM, faster convergence speed than the Exact ALM!)
▍13. Image_Steganalysis
国外最近的图像密写论文，提出了YASS以及YASS的改进(Recent image abroad, write the paper closely, and YASS YASS proposed improvements)
▍14. TCS32OOD[1]
图像传感器，TSC3200D，经典颜色识别的传感器资料。源自美国TAOS公司，光电矩阵元件，具有多种彩色识别功能。(TCS3200, TCS3210 PROGRAMMABLE COLOR LIGHT-TO-FREQUENCY CONVERTER USA TAOS)
▍15. seasar
对于水下地形海洋SAR探测有兴趣的读者可以来看看，对你会有帮助的。(2000，Two-dimensional topography inversion of underwater bottom by using SAR imagery.pdf)
▍16. FBG_filter
说明： 用optisystem制作得FBG 滤波器(FBG filter was made with optisystem)
▍17. Application_study_of_wavelet_analysis_on_ultrasoni
说明： ：在深海采矿环境中超声波传输介质里存在着大量气泡、扰动沉积物、机械噪声等背景噪声与混响，导致有用信号与高 噪声信号迭加在一起，严重影响了测距精度。采用小波分析方法将超声回波信号进行3层小波分解，适当设置门限阈值对小波 系数进行处理，然后对信号进行重构，有效地抑制了信号中噪声对测量精度的影响。研究结果表明：小波方法有很好的降低回 波信号中噪声的效果，其测距精度高于自适应滤波去噪后的测距精度。(There are much background and mixture noise in the course of ultrasonic wave transmission under deep sea mining environment，such as air bubbles and disturbed sediment and mechanical noise．Because of these factors， the useful signals and the high noise signals are combined together，which seriously affects the distance measurement precision．Ultrasonic echo signals are decomposed into three layer wavelets，and a threshold is set to process the wavelet coeficients．Then the signals are reconstructed．Accordingly the influence of environment noise on distance measurement precision is effectively restrained．Research resuhs indicate that wavelet transform method is very useful for noise reduction in signals．Its precision is higher than that of the adaptive filtering method．)
▍18. fenshujiefuliye
基于分数阶傅里叶变换的五篇博硕士论文，分别是在数字水印中的应用两篇，图象变换中的应用一篇，滤波中的应用一篇，目标检测中的应用一篇。(Based on Fractional Fourier Transform five Theses, respectively, in the digital watermark in the application of 2, images in the application of a transformation, filtering in the application of a target detection application 1.)
▍19. fenshujie
博士论文，分数阶微积分在现代信号分析与图象处理中应用给出了详细的分析和探讨，论文覆盖面广，有着很多的实验结果和详尽的分析。(Ph.D. thesis, fractional calculus in a modern signal analysis and image processing application gives a detailed analysis and discussion, research papers covering a wide range, has a lot of experimental results and detailed analysis.)
▍20. EPSConverter
该软件可实现图像间格式的转换,主要实现: (e)ps,bmp, jpg, png,tif,gif, psdi图像格式之间的转换(The software enables format conversion between images, the main achievement: (e) ps, bmp, jpg, png, tif, gif, psdi image format conversion between)
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