资源列表
delnoise
- 处理图片中的带噪声图像，去除噪声，提高图像质量。-Image Processing The image band noise, noise removal, improve image quality.
vehicle-Identify-
- 交通车辆识别系统的实 现与特征提取 良好的性能-Implementation and transport vehicles feature recognition system to extract good performance
GLCM
- 灰度共生矩阵建立在估计图像的一阶组合条件概率密度函数的基础上, 其通过计算图像中有一定距离和一定方向的两点之间灰度的相关性, 反映图像在方向、间隔、变化幅度及快慢上的综合信息。-The GLCMs are stored in a i x j x n matrix, where n is the number of GLCMs calculated usually due to the different orientation and displacements used in the alg
ChePaiShiBie
- 本程序用于图像处理中的车牌识别，希望对大家有用-The folder includes some .M files and it s helpful to learn the knowledge of IPR
Ldx_CreateImg1KFea
- 为每个分割区域提取特征,统一放在一个文件里,且当分割区域小于5 时，此区不考虑-Extract features for each segmentation area, place it in a single file, and when the split area is less than 5 , this area is not considered
Ldx_MIL_TestSampes
- 在eccv200(corel5k)图像库的训练4500幅图像上统计374个语义的 多例子学习 训练样本-A total of 374 semantic multi-instance learning training samples were counted on the training of 4500 images of the eccv200 (corel5k) image library
tuxiangzengqiang
- matlab图像增强效果,包含加入椒盐噪声等，对比几种边缘检测算法的效果区别- matlab图像增强效果,包含加入椒盐噪声等，对比几种边缘检测算法的效果区别 MATLAB image enhancement effect, including the addition of salt and pepper noise, compared to the effect of several edge detection algorithm
Ldx_MIL_TrainSampes
- 为每个分割区域提取特征,统一放在一个文件里,在1Kimg的 多例子学习 训练样本-For each segmentation area to extract features, unified in a file, in the 1Kimg multi-example learning training samples
Ldx_TestMHD_EMD
- 为每个分割区域提取特征,统一放在一个文件里,在图像库内进行多示例学习并训练样本-Extract features for each segmentation area, place it in a single file, perform multi-sample learning and train samples in the image library
sgbm
- sgbm的c++实现，已经在linux下编译，用call_sgbm.sh即可调用。-A implementation of sgbm, already compiled under linux, you can use it by call call_sgbm.sh.
MATLAB
- SAR影像读取，基于系数绝对值最大准则进行的光学影像小波融合-SAR image reading, the largest absolute criterion based on wavelet coefficients optical image fusion
timesat302.part1
- Timesat3.2，用于遥感影像的NDVI时间序列分析，提取物候参数。 -Timesat3.2, NDVI time series for the analysis of remote sensing images, extract phenological parameters.