hongmo2

数字图像压缩方向一些经典压缩方法的matlab程序实现(Digital image compression direction, some classic compression methods, matlab program implementation)

一种比较实用的sar影像边缘检测算法，谢谢大家交流(A practical edge detection algorithm for SAR images. Thank you for your communication.)

基于分层的HOG的行人检测，具有很高的研究价值。(HOG based pedestrian detection layered with high research value.)

易语言动画地图编辑器源码，易语言写的图形图像编程，很好的参考。(Easy language animated map editor source code, easy graphic language programming, a good reference.)

图像处理中的一些常用代码，包括：腐蚀操作 开启和闭合操作 形态学边界提取 形态学骨架提取 直接提取四个顶点坐标(Some of the commonly used image processing code, including: Opening and closing operation of corrosion morphology boundary extraction morphological skeleton extraction to extract four vertex coordinates)

超声图像处理软件dream，开源代码，用于仿真超声图像(Ultrasound image processing software dream, open-source code for the simulation of ultrasound images)

图像检测的算法，Faster R-CNN算法，先对整张图像进行卷积计算，然后通过感兴趣区域池化层(RoI Pooling Layer)将选择性搜索算法推荐出来的候选区域和卷积网络计算出的特征映射图进行融合，得到候选区域对应的特征矢量，这种共享卷积计算的操作极大地减少了卷积计算的次数。而且这些特征矢量的维度统一，方便后续的分类工作。通过感兴趣区域池化层处理卷积特征，并将得到的特征送往两个并行计算任务进行训练，分类和定位回归。通过这些方法和改进的框架，Fast R-CNN 用更短的训练和测试时长，取得了比 R-CNN 更好的效果(Faster R-CNN algorithm first convolutes the whole image, then fuses the candidate regions recommended by the selective search algorithm and the feature mapping maps calculated by the convolution network through the RoI Pooling Layer to get the corresponding feature vectors of the candidate regions, which greatly reduces the number of convolution calculations. Moreover, the dimension of these feature vectors is unified, which facilitates the subsequent classification work. The convolution feature is processed by the pooling layer of the region of interest, and the obtained feature is sent to two parallel computing tasks for training, classification and positioning regression. Through these methods and improved framework, Fast R-CNN uses shorter training and testing time and achieves better results than R-CNN.)

说明：  labview基础视觉识别的东西，讲的很细(The basic visual recognition course of LabVIEW is very detailed.)

通过点云数据的格网化，建立格网分块索引，这是一种有效的点云数据存储方式。( Through the point cloud data grid , the establishment of a grid block index, which is a valid point cloud data storage. )

最小二乘图像影像匹配方法，一个很详细的源码例程，有过程有结果，希望对初学者有帮助。高斯解方程，以及最小二乘匹配，里面都很详细。(Squares image image matching method, a very detailed source code routines, the outcome of the process, I hope to help beginners. Gaussian solution of equations, and least squares matching, which is very detailed.)