retinex

DPM作者获得 2010年CVPR终生成就奖，DPM是在HOG的基础上进行改进，解决了HOG算子的不足，并且对SVM也进行了小幅度改善提出了LSVM这个概念(DPM is improved on the basis of HOG. It solves the shortcomings of HOG operator, and makes a small improvement on SVM. The concept of LSVM is proposed)

从一幅多个细胞的图像中，分割出单个的细胞，一个细胞一个小图。(more than one cell from the image, segmentation of individual cells, a cell a small map.)

程序实现遥感影像中的道路提取算法，可以用于遥感专业目标提取！(Program in remote sensing image road extraction algorithm can be used for remote sensing to extract professional goals!)

实现图像文件（如bmp等）的读取、显示、真彩图转换成灰度图、灰度图转化为二值图及绘制图像直方图功能。(Achieve an image file (such as bmp, etc.) to read, display, true color conversion to grayscale, converted to grayscale and binary image histogram function to draw the image.)

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)

gac模型的迎风方案可以实现对灰度图像的分割，分割效果还可以(gac)

实现高斯模糊，运动模糊等的点扩展函数psf的估计，并复原(The estimation of point spread function PSF, such as Gauss blur and motion blur, is realized and restored.)

自写M函数，做灰度图像的灰度级数及灰度范围的自定义设置。例如：将[0 255]的uint8图像变换成8级灰度的灰度范围为[0 7]图像或者[11.5 25.8]图像。 输出图像为double类，用户可将图像归一化后自行转换为所需类型。(This is a M function written by self, it can be used to rebuild a image with a given number of gray-level and a given gray-scale. Output image is double class.)

十字路口车道线提取算法。c++开发。特别针对十字路口电子警察系统开发。(road line fetch)

贝特拉米滤波器，能够保持图像的边缘信息，同时对背景进行平滑处理 (beltrami filter, to keep the edge information of the image, while the background is smoothed)