Tamuratexture

方向梯度直方图（Histogram of Oriented Gradient, HOG）特征,计算机视觉和图像处理中用来进行物体检测的特征描述子的实现(Histogram of oriented gradients (Histogram of Oriented Gradient, HOG) characteristics, computer vision and image processing used for object detection feature descriptor realization)

使用matlab分析传统光学系统加入三次相位掩模板之后对中间像进行图像复原(Analysis using matlab conventional optical system after adding three phase mask image on the intermediate image restoration)

一个散焦模糊自动复原的算法，自动估计散焦半径，在频率域识别参数，并用最小二乘滤波复原(A defocus blur automatic recovery algorithm automatically estimated defocus radius, in the frequency domain identification parameters, and by the least squares filter restoration )

说明：  数字图像处理仿真常用的标准图像库USC-SIPI图像数据库。(USC-SIPI image database is a standard image database commonly used in digital image processing and simulation.)

支持向量机的MATLAB源程序，效果真的很不错(SVM MATLAB source, the effect is really very good)

通过纹理方向估计消失点，通过消失点来检测道路区域。 该程序应用到了基于纹理的张量投票算法来估计消失点；通过纹理方向和颜色信息，生成用于估计两个最主要道路边界的直方图；最后将道路区域定义为两个检测到的道路边界之间且低于估计的消失点的区域(The vanishing point is estimated by the texture direction, and the road area is detected by the vanishing point. The program applies a texture-based tensor voting algorithm to estimate the vanishing point; through the texture direction and color information, generates a histogram for estimating the two most important road boundaries; finally defines the road area as two detected road boundaries. An area between and below the estimated vanishing point)

由于彩色图像提供了比灰度图像更为丰富的信息, 因此彩色图像处理正受到人们越来越多的关注。彩色图像分割是彩色图像处理的重要问题, 彩色图像分割可以看成是灰度图像分割技术在各种颜色空间上的应用, 为了使该领域的研究人员对当前各种彩色图像分割方法有较全面的了解, 因此对各种彩色图像分割方法进行了系统论述, 即先对各种颜色空间进行简单介绍, 然后对直方图阈值法、特征空间聚类、基于区域的方法、边缘检测、模糊方法、神经元网络、基于物理模型方法等主要的彩色图像分割技术进行综述, 并比较了它们的优缺点, 通过比较发现模糊技术由于能很好地表达和处理不确定性问题, 因此在彩色图像分割领域会有更广阔的应用前景。(colorful image segment)

说明：  EM算法概述，用来进行图像重采样检测的代码(EM algorithm overview)

先将字符串转化为像素图，再将像素图还原成二维数组。将二位数组转化为布尔数组。然后用一个顺序结构，第一帧放入比较程序，即显示汉字并闪烁程序。第二帧循环移位程序。第三帧屏幕关闭程序。(First string into a pixel map, and then reduced to a two-dimensional array of pixel map. The two-digit group into a Boolean array. Then a sequential structure, comparing the first frame into the program, the program that displays characters and flashes. The second frame cyclic shift procedure. The third frame of the screen to close the program.)

车道线检测，实验代码，本人已经验证过，可以直接使用，带有图片和实验结果(The lane line detection code)