资源列表
rgb2lab
- 用于影像分割的超像素生成，将原始影像由rgb空间转换至lab空间-Super pixel for image segmentation to generate the original image is converted by rgb space to space lab
Fountain
- 基于OpenGL的喷泉粒子系统及水波的粒子系统，三维场景构建-OpenGL-based fountain and wave particle system
Q_tree
- 图像的四叉树分解，图像处理，qtdecomp函数以及应该注意的一些事项-Quadtree image decomposition, image processing, qtdecomp functions, and some of the issues should be noted
Waterfall
- 基于OpenGL的瀑布粒子系统，三维场景构建 可以改变分辨率和景深-Waterfall particle system based on OpenGL, 3D scene construction You can change the resolution and depth of field
Stars
- 基于OpenGL的星空系统，三维场景构建 可以改变分辨率和景深-OpenGL- based Star- space System and 3D Scene Construction You can change the resolution and depth of field
PUMcode
- 相位恢复算法程序,Fourier phase retri is carried out with the introduction of a randomly fabricated mask in measurement and reconstruction-Fourier phasing with phase-uncertain mask
OSS1
- Oversampling smoothness: an effective algorithm for phase retri of noisy diffraction intensities论文的代码-Oversampling smoothness: an effective algorithm for phase retri of noisy diffraction intensities
Radar-for-wall-Imgaing
- UWB穿墙生命探测雷达波形设计和干扰抑制方法研究 UWB穿墙生命探测雷达波形设计和干扰抑制方法研究-radar image
A-New-Approach-to-Segmentation
- 一种新型的多光谱的基于马尔科夫随机场的遥感图像的分割-Remote Sensing Images Based on Markov Random Field Segmentation of a new type of multi-spectral
Sub-pixel-mapping-method
- 一种基于BP神经网络的亚像素形成方法，该论文详细的讲述了如何将BP神经网络与亚像素结合起来，用于图像处理领域。-BP neural network based on sub-pixel forming method, the paper describes in detail how the BP neural network combined with sub-pixel for image processing applications.
dragonskytech
- 此车牌识别演示软件目前只有图像识别演示，可识别Jpg和bmp格式的图片。其中bmp图片可识别24位和32位位图格式。此演示只为单纯识别演示，演示版比正式使用版正确率低10 以上。-This license plate recognition software is currently only image recognition demo, can identify the Jpg and BMP format pictures. Where BMP images can be identifi
target-tracking-using-kalman
- 使用kalman滤波对目标（乒乓球）的位置进行滤波，内含有60幅图像的数据集。Kalman每次迭代的输入是来自连通区域标记所确定的乒乓球位置。-target-tracking-using-kalman for ping-pang，including of 60 pictures.The input of every interate is the position determined by connected region label.