texture

序列图像中运动小目标检测跟踪，实用性很强，张天序教授的硕士生撰写的学位论文(Image sequences small moving target detection and tracking, very practical, Professor Zhang Tianxu of graduate students writing dissertations)

hough变换检测直线代码在matlab下的运行(hough transformation)

一个很好类子来说明类模板的使用，可以比较明了类模板的使用方法，最好进行单步调试(use of class template )

phase congruency相位一致性计算，可以用于提取图像的特征，如边缘、角点等。(calculation of phase congruency phase coherence, can be used to extract image features, such as edge, corner points.)

OpenCV_基于混合高斯模型GMM的运动目标检测。内附监测监控视频，方便测试使用。(OpenCV_ GMM Gaussian mixture model based moving target detection. Included monitoring surveillance video, easy testing.)

此程序是基于灰度共生矩阵的图像纹理特征提取算法，它进行了四个方向上的灰度共生矩阵的计算，从而得出他们的纹理特征向量，再求均值，使计算进度大幅度提高(This program is based on the GLCM texture feature extraction algorithm, which was four directions GLCM calculation to arrive at their texture feature vector, and then seek means to significantly increase computing progress)

本文主要研究基于水平集方法的活动轮廓模型图像分割，在回顾活动轮廓模 型发展的基础上，介绍了曲线演化理论及其水平集方法，证明了水平集方法可以 有稳定的数值实现方式且其处理拓扑变化的自然性，进一步引出了变分水平集方 法。 本文介绍了两种不同的几何活动轮廓模型：基于梯度信息的李纯明模型以及 基于区域信息的 Chan-Vese 模型（C-V 模型）。在分析上述两模型的优缺点上，提 出了一种改进的 C-V 模型，改进模型引入了距离约束项，同时对基于区域的外部 能量项进行了改进，使得水平集函数重新初始化寓于模型的演化之中，分割结果 对参数的依赖性减小。 (This paper mainly study image segmentation of active contour model based on level set. After reviewing the development of the active contour model, curve evolution and level set method are presented, then we proved that the level set method has a stable numerical realization and can describe the topology change of the contour naturally, in addition we introduce level set of variational method. We introduce two different GAC models in this paper: Li Chunming model which is based on gradient information and Chan-Vese model （C-V model） which is based on region information. Based on the drawbacks and advantages of these two models, we improve the C-V model by adding penalizing energy term of signed distance function, at the same time, mending the external energy term which based on region information, then the re-initialization of the level set can accomplish in the model evolution, and the degree of the segmentation result depend on the parameters decline. )

RLE压缩算法,对.bmp格式文件进行操作。使用MFC编制界面，可读入位图，压缩后保存位图并显示。(RLE compression algorithm, bmp format file operation. Use the MFC preparation interface, readable into the bitmap compressed to save a bitmap display.)

使用matlab编写的啤酒瓶缺陷检测程序，测试通过（毕设）(Prepared using matlab beer bottle defect detection procedures, test (complete set))

增强图像中的有用信息，它可以是一个失真的过程，其目的是要改善图像的视觉效果，针对给定图像的应用场合(Enhance the useful information in the image, it can be a process of distortion, its purpose is to improve image visual effect, for a given image)