资源列表
motionTracking
- 一个基于帧间差分的目标跟踪matlab源代码，解压后可直接运行，对学习跟踪有重大帮助-Frame difference of a target tracking based on matlab source code, extract can be directly run a major help in learning track
fulfill
- 自己编的图像填充代码，附有检测图片，此图片为自己绘制，可以运行！有用拿去！-The images fill your code compiled, with a detection image, this picture drawn for themselves, you can run! Useful Take them!
PoissonRecon
- poisson表面重建的代码，可以由点云数据生成曲面-poisson surface reconstruction of the code, you can generate surfaces from point cloud data
Enhanced_By_Rough_Set
- 粗糙集理论是一种描述不确定知识的工具，在图像处理中具有广泛用途，本代码给出了粗糙集滤波和边缘提取的简单实现-Rough set theory is a descr iption of uncertain knowledge of the tools in image processing with a wide range of applications, the code gives the rough set filtering and edge detection of the simpl
01
- 在小波域进行图像分割，任意选择分解级数 和分解所用的小波函数-Image segmentation in the wavelet domain, choose decomposition series and decomposition wavelet function used
graph_cut
- 图像分割ppt，介绍graph cut的基本原理-introduce what about graph cut
YUV
- 从YUV文件中提取Y分量并另存为raw文件-Extracted from Y component of YUV files and save as raw file
AMulti-sourceImagFusionAlgorithmUsingICA
- 一种基于ICA的多源图像融合算法为了尽可能 达到这一要求，在分析盲源分离理论的基础上，提出了一种基于独立分量分析(ICA)的图像融合算法。-ICA-based multi-source image fusion algorithm in order to meet this requirement as far as possible, in the analysis of blind source separation based on the theory put forward bas
facerecongizeC
- C++写的人脸识别代码Written in C + + code for face recognition-Written in C++ code for face recognitionWritten in C++ code for face recognition
Texture
- 计算图像灰度共生矩阵重要属性：能量 熵 惯性矩和相关性。-Calculate important properties GLCM image: the moment of inertia and entropy correlation energy.
Automatic-segmentation
- 在最优阈值分割的基础上,用自动区域生长去除气管/支气管区域,对边界跟踪法进行改进以快速 去除背景干扰和获得肺部边界,最后进行肺部边界修补得到完整的肺部图像。算法采用迭代法寻找最 优阈值解决了阈值选取的敏感性问题,提出了基于前层图像中气管/支气管位置的气管/支气管提取方 法,避免了种子点的人工选取,基于前次搜索方向改进了八邻域搜索方法来提高边界跟踪的速度。 -In the optimal threshold segmentation based on region growing
MeanShift
- 为了提高经典的Mean Shift算法在复杂场景中的跟踪性能,提出了一种基于角点的目标表示方法。首 先,利用Harris角点检测算法提取表示目标主要特征的角点 其次,基于提取的角点,建立目标模型,将其嵌入 Mean Shift算法进行跟踪。该方法仅用少量的关键点表示目标,能够自动去除目标和背景中的次要特征,有效地 抑制背景成分对目标定位的影响,从而改进Mean Shift目标跟踪算法的性能。-To imp rove the performance of the classicalMe