搜索资源列表
mycode.rar
- code for shadow detection using wavelet in images,code for shadow detection using wavelet in images
The-RESEARCH-OF-SEVERAL-KEY-TE
- 步态识别关键技术研究。包括阴影消除；多人跟踪；特征提取及多特征融合。 这可是一篇对研究步态的朋友有用的硕士论文哦,Gait recognition research of key technologies. Including the elimination of the shadow people tracking feature extraction and multi-feature fusion. This is one pairs of friends gait research
shadow-removal
- 该代码用于在视觉智能监控/视频监控/视觉监控/视频智能监控中，消除阴影。阴影消除对视频监控具有重要的意义，能够有效地降低阴影对目标检测的影响，减小误检率和漏检率，提高对目标的识别效率以及监控系统的稳定性和可靠性。-This code is used to remove shadow in visual intelligent surveillance/video surveillance/visual surveillance/video intelligent surveillance. Sh
MATLABcode
- 利用Retinex中心环绕算法进行阴影去除，飞常详细并含有程序对应的PPT-Centers around the use of Retinex algorithm to remove the shadow, flying often detailed and contain procedures for the corresponding PPT
rgbhist
- Use the RGB mode to get a quick sense of which colors are present in particular highlight, shadow, and midtone regions. The LAB mode is more useful for determining the actual color balance of an image, but it is slower. -Use the RGB mode to get a q
FHD_PAMI
- 去除彩色图像中的阴影，以便于图像分割，物体识别以及跟踪-To remove the shadow of color images in order to facilitate the image segmentation, object recognition and tracking
ColorFeatures
- 一种彩色图像边缘检测的算法。实现J.van de Weijer的" Robust Photometric Invariant Features from the Color Tensor"-The quasi-invariant derivatives can be used to suppress undesired edges such as shadow, shading and specular edges. LITERATURE: J. van de Weijer, Th. Gev
BackgroundGMMModel2
- 这是在视频研究中关于运动阴影检测的 代码，用VC++编写，中间调用MATLAB-This is a praogram aboout the shadow detection in the video research.It is worth deep study.
xyinying
- 背景差和帧差法实现运动人体的跟踪，具有搞噪声和消除大部分阴影功能-Background difference and frame difference method to achieve motion tracking of the human body, has engaged in the shadow of the noise and the elimination of most of the functionality
xtouying
- 背景差和帧差法实现运动人体的跟踪，具有搞噪声和消除大部分阴影功能-Background difference and frame difference method to achieve motion tracking of the human body, has engaged in the shadow of the noise and the elimination of most of the functionality
Fivemethodsforshadowdetectioninremotesensingimages
- 本文件中提供了五种不同的方法，实现了遥感正射影像中云影的检测。源码均已通过了实验的检验，有例图显示检测结果。- This document provides five different methods,which is used for shadow-detection in the remote sensing images. The source codes has already passed the inspection, experimental example shows th
BPneuralnetworkappliedinshadowdetection
- 本文件包含的程序实现了神经网络在遥感正射影像云影检测领域的应用，效果良好。-This document contains procedures for implementation of neural networks in remote sensing cloud shadow detection orthophoto application of the field to good effect.
shadowDetection
- 识别图像中的阴影边界，Detecting Ground Shadows in Outdoor Consumer Photographs论文的实现代码-Identify the shadow of the image border, Detecting Ground Shadows in Outdoor Consumer Photographs thesis implementation code
hsv
- 在车辆检测中，对提取的前景进行基于hsv特性去除阴影-In the vehicle detection feature to remove the shadow on hsv
shadow-removal
- 非常全面介绍了阴影检测算法以及如何去除阴影的算法，基本涵盖了该领域的所有知识点。-Is a comprehensive introduction to the shadow detection algorithm and how to remove the shadow of the algorithm, covering all the knowledge in the field point.
src
- 背景减除的完整算法，《A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection》作者源代码-The "src" folder contains all of the source code. To run the program, follow these simple steps: 1. Start MATLAB and ensure the "src" fold
shadow_removal
- 采用matlab，代码经过修改，可以去除阴影，但还不能在实际应用中用，不过有一定的参考价值-Using matlab, the code has been modified to remove the shadow, but it can not be used in the actual application, but there is a certain reference value
SRandCEinOCT
- [IOVS]2011 Shadow Removal and Contrast Enhancement in OCT Images of the Human Optic Nerve Headl的实现matlab代码，医学图像增强-[IOVS] 2011 Shadow Removal and Contrast Enhancement in OCT Images of the Human Optic Nerve Headl realization of matlab code medical imag
YinYingJianCe
- 根据阴影在HSV空间的特性，在Matlab里进行阴影消除-According to the properties of the shadow in the HSV space, shadow elimination in Matlab
vehicle
- 运用车底阴影特征实现图片中的前方车辆检测(Use vehicle shadow feature to detect vehicle in front of image)