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说明：  采用matlab实现高斯金字塔，函数Gscale(img,levels,gsize,sigma)(To achieve Gaussian pyramid using matlab)

图像分割关系到目标识别的精度，是目标检测的关键一步，其中提供了一些图像分割的代码，主要为otsu算法的分割方法，很实用(s related to the accuracy of target recognition, image segmentation is a critical step in target detection, provides some image segmentation code, very useful)

说明：  对限制对比度自适应直方图均衡化算法adapthisteq进行了解释。可用于图像增强(Contrast to the limited adaptive histogram equalization algorithm adapthisteq is explained. Can be used for image enhancement)

实现图像的几何变换，用控制栅格的方法来将一幅变形的图片恢复原型(Image geometric transformation, with control of the grid method to deformation of an image to restore the prototype)

说明：  本课题为基于MATLAB的小波变换dwt和离散余弦dct的多方法对比数字水印系统。带GUI交互界面。有一个主界面GUI，可以调用dwt方法的子界面和dct方法的子界面。流程包括，读取宿主图像和水印图像，嵌入，多种方法的攻击（剪切，加噪，旋转等），提取，最后利用psnr峰值信噪比进行评价不同攻击下，鲁棒性的好坏。(This project is based on MATLAB wavelet transform DWT and discrete cosine DCT multi method contrast digital watermarking system. With GUI interactive interface. There is a main interface GUI, which can call the sub interfaces of DWT method and DCT method. The process includes: reading host image and watermark image, embedding, attacks of various methods (cutting, adding noise, rotation, etc.), extracting. Finally, PSNR peak signal-to-noise ratio is used to evaluate the robustness of different attacks.)

基于MAP_MRF模型的SAR图像道路提取(Model-based SAR image MAP_MRF Road Extraction)

基于meanshift算法的目标跟踪，主要是基于opencv车辆跟踪！！！程序当中进行简单的图像分割(Based on the meanshift algorithm of image segmentation and target tracking.)

多尺度Retinex去雾算法，能有效实现雾霾天获取的模糊图像去雾(Multi-scale Retinex defogging algorithm can effectively achieve defogging defogging)

对普通的粒子滤波和一种改进的粒子滤波算法进行比较，证明改进算法优越性(Of ordinary particle filter and an improved particle filter for comparison, to prove the superiority of improved algorithm)

第8章 图象的检测及模板匹配 图象的分割与检测(识别)实际上是一项非常困难的工作。很难说清楚为什么图象应该分割成这样而不是那样。(Chapter 8 Detection of image template matching and image segmentation and detection (recognition) is actually a very difficult task. It is hard to say clearly why the image should be divided into such and not as.)