advancedcvmodel

用matlab编写的区域生长法的程序，通过选择种子和阈值，可以进行图像分割和检查瑕疵(Written by matlab region growing process, by selecting the seeds and thresholds for image segmentation and inspection for defects)

对离散特征点进行直线拟合，效果很好，文件中还有平面拟合的例子，以及三焦点张量的部分主要程序，希望对需要的人有帮助(Discrete feature point fitting a straight line, with good results, part of the main program file plane fitting example trifocal tensor hope that those who need help)

tiff格式的lena原图，该图像包含了各种细节、平滑区域、阴影和纹理，这些对测试各种图像处理算法很有用。(Lena artwork in TIFF format,The image contains a variety of detail, smooth areas, shadows, and textures, which are useful for testing various image processing algorithms.)

提取SIFT特征，进行特征提取和匹配，包括特征点的定位，特征点描述子的生成，特征点的匹配，(extract SIFT feature，and feature matching)

说明：  实现多层tiff显微图像识别，追踪显微镜下PS微球的坐标并给出颗粒运动轨迹(Multi-layer TIFF micro-image recognition is realized. The coordinates of PS microspheres under the microscope are tracked and the trajectories of particles are given.)

灰度图像的属性计算：利用bwlabel和regionprops函数对度量二值图像中目标对象的属性。(Attribute gray image: Using bwlabel and regionprops function measure binary image of the target object attributes.)

semi-supervised learning 半监督局部线性嵌入(semi-supervised learning )

说明：  显著性检测的代码，是程明明在12年的CVPR的文章，HC,RC的算法源码。(The code for saliency detection is the source code of Cheng Mingming's CVPR article, HC, RC, in 12 years.)

说明：  运动目标识别，采用背景差分方法。背景图像由均值法获得。里面的视频换成前几帧换成纯背景效果能更好一点(Moving target identification, using the background difference method. Background image obtained from the mean. Which replaced the previous video frame replaced by pure background a little better results)

深度图像处理,主要的是对深度图像进行区域分割(depth map)