利用摄像头工具箱标定得到的内部参数还原透视图像为“鸟瞰图”。本例中使用的图像时棋盘格。(Using the internal parameters obtained from the camera calibration toolbox. reducting perspective images as the "bird s eye view". In this case, use the image of the checkerboard.)
小波脊线提取crazy climber算法的文献出处(The wavelet ridge extract crazy climber algorithm literature source)
EM算法的图分割,基于GMM模型改进的快速EM算法，为m文件(EM algorithm image segmentation)
利用自编的mean shift对图像进行均值漂移分割。(The mean shift use self mean shift image segmentation.)
说明： slic超像素分割，可以实现图像的超像素分割(SLIC super pixel segmentation)
说明： GVF-SNAKE分割 解决了收敛速度慢、收敛不理想的问题(Image segmentation using GVF Snake)
说明： 使用贝叶斯算法进行图像分割，迭代法寻找最佳阈值(Bayesian algorithm is used for image segmentation, and iterative method is used to find the best threshold)
说明： 计算图像峰值信号比，比较边缘检测图像的质量(Calculate the image peak signal ratio and compare the quality of edge detection)
两船协同导航，利用EKF滤波，主要用于主从式的协同导航，滤波参数要根据实际需要合理调节(Collaborative navigation of both vessels, the use of the EKF filter, mainly used for the master-slave collaboration navigation filter parameters according to the actual needs of a reasonable adjustment)
说明： matlab编写的纹理图像分割 gussian滤波后k-means聚类 并将不同区域用线条表示出来(Matlab prepared texture image segmentation, Gussian filtering, K-means clustering and different regions are represented by lines)
利用最佳直方图熵法（KSW熵法）及穷举法实现灰度图像阈值分割(The best the histogram entropy method (KSW entropy method) and the brute-force method to achieve gray image threshold segmentation)
基于IBP算法的超分辨率图像重建，原理讲得十分清楚。(Super-resolution image reconstruction based on IBP algorithm. The principle is very clear.)
这是matlab官方网站的一个快速实现svd分解的函数，通过对矩阵的截断加速(This is a quick realization svd decomposition function matlab official website, through the cut-off acceleration matrix)
改进SIFT算法，用于光学图像和SAR图像配准(Improved SIFT methods for Registration of Optical and SAR image.)
说明： 高斯混合模型实现图像分割分类，包含中文注释。(Gaussian mixture model implements image segmentation and classification, including Chinese annotation.)
说明： 采用霍夫曼技术实现压缩图像的重建，代码很详细，很不错。(Using Hoffman technology to achieve compressed image reconstruction, the code is very detailed, very good.)
对玻璃表面缺陷图像进行处理，进行分类识别(The glass surface defect image processing, classification and identification)
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