radon_detection_test

本设计是基于超像素的图像分割代码，可以实现图像前景和后景的分割。没有人机交互界面GUI。( U672C u8BB u8B1 u662F u57FA u5FF u524F u5BF u5BF u5DF u7D0 u7R0 u7684 u56FE u50CF u5206 u5272 u4EE3 u7801 uFF0C u53EF u4E5 u5B9E u73B0 u56FE u50CF u524D u666F U548C u540E u666F u7684 u5206 u5272 u3002 u6CA1 u6709 u4EBA u673A u4EA4 u4E92 u754C u9762GUI u3002)

《基于计算机视觉的普适性三维重建方法研究》源代码，实现了一种将二维图像重建成三维场景的方法。(Source code of <General Sense Three-Dimension Reconstruction Research Based on Computer Vision>, a technique which can convert 2D images into 3D sence.)

将RGB彩色空间转换到HSI彩色空间，HSI彩色空间更接近人眼对彩色的认知。(The RGB color space conversion to the HSI color space, HSI color space is closer to the human eye color perception.)

（2001何斌+光盘）Visual c++数字图像处理（第二版），使用VC进行数字图像处理的相关资料，十分实用！((2001 Bin+ disc the) Visual c++ digital image processing (second edition), digital image processing using VC, very practical!)

本程序对同一图像增加噪声后，进行均值滤波、高斯平滑滤波和中值滤波三种方法的去噪和结果比较， 并进行了评价指标PSNR和SSIM的计算以及算法耗时的统计。 ( The program on the same image after the noise increases, mean filter, de-noising and results of the Gaussian smoothing filter and median filter three methods of comparison, and the index PSNR and SSIM calculation algorithm and time-consuming statistics.)

利用压缩感知实现波达方向估计，运用奇异值分解对接收信号进行降维，再利用L1范数进行估计(Using compressed sensing DOA estimation using singular value decomposition to reduce the dimensionality of the received signal, and then using the L1 norm estimate)

图像处理中经常要用到的提取方向特征的gabor滤波程序(gabor filter map)

粒子滤波重采样方法实现程序，包括随机重采样、多项式重采样、系统重采样、残差重采样程序(Particle filter resampling method procedures, including random resampling, resampling polynomial system resampling, residual resampling procedure)

传统的几种图像增强与去噪方法，包括直方图处理，灰度变换，滤波去噪等几类。细分为直方图均衡化，直方图规定化，灰度线性变换，中值滤波，维纳滤波，同态滤波(The traditional methods of image enhancement and denoising include histogram processing, grayscale transformation, filtering and denoising. Subdivided into histogram equalization, histogram specification, gray level linear transformation, median filtering, Wiener filtering, homomorphic filtering)

An simple illustration of champ markov