KmeansPP

hog完整代码，图像处理方面，得到灰度分布直方图(Hog complete code, image processing, get gray distribution histogram)

现有自然图像素描画效果生成算法存在容易造成画面细节丢失，笔画线条单一等问题。针对这些问题，本文提出了一种改进的自然图像素描画效果生成算法，通过模拟艺术家创作素描画过程，分步生成素描画图像底纹和素描画场景笔画轮廓，采用8个方向卷积滤波提取图像中不同方向的细节信息，并使用不同长度不同粗细的笔画来模拟艺术家在创作过程中不同力度的绘画效果，最后合并素描画笔画效果和素描画图像底纹，得到与原输入自然图像内容一致，色调与艺术家绘制的素描画效果相同，笔画和底纹形式与实际素描画相似，真实感较强的素描画效果输出图像。大量实验结果表明本文方法可以生成高质量的自然图像素描画效果，与现有成熟的铅笔画生成技术相笔，本文方法具有较强的可比性。(The existing algorithms for natural image sketch production are easy to cause some problems such as the loss of image details, singleness of the stroke line. To solve these problems, this paper proposes an improved algorithm for the natural image sketch effect producing. By simulating the artist creation process of sketch, step-by-step generate image shading sketch image shading and drawing the scene outline stroke of the sketch image, using 8 directions of convolution filter to extract the details of different directions in the image, furthermore, using the stroke of different length and thickness to simulate the painting effect of different strength in the process of artist creation, finally we merge the sketch stroke effect and sketch image background to get the output image, which have consistent content with the original input image, have the same tonal effect with artists draw sketch, have the similar Stroke and background form with the actual sketch and have strong real sense in)

该程序利用全变分算法来去除图像噪声，提高图像的视觉效果。(The program to use the entire variational algorithm to remove the image noise, enhance the visual image.)

小波变换去噪和轮廓波变换去噪，两种方法比较，通过psnr来评价(wavelet and contourlet，image denoise)

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )

一种基于直方图改进的FCM聚类水下图像分割算法 文献加matlab实现代码(Improved histogram based FCM clustering literature plus underwater image segmentation algorithm matlab code)

利用matlab实现基于内容的图像检索 (Using matlab content-based image retrieval )

ASM和AAM功能的合集，是一个外国人开发的工具箱，需要addpath，已试过可用，(ASM and AAM function of the collection is a foreigner development toolbox need the addpath, have tried available)

画任意旋转点源码，例程程序使用画板，根据两点的坐标及旋转角度画出旋转点的坐标。(Videos arbitrary rotation point source , a routine procedure using Sketchpad , coordinate rotation point to draw the coordinates of two points and the angle of rotation .)

对图像进行修复，直方图均衡化处理，中值滤波和均值滤波(To repair the image, histogram equalization, median filtering and mean filtering)