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code for shadow detection using wavelet in images,code for shadow detection using wavelet in images
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关于视频方面，运用阴影检测的方法。在交通方面运用比较广泛！-On the video side, the use of shadow detection method. More extensive use of transport!
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基于IHS的阴影检测程序，比较好用，大家可以试一下，有问题一起讨论，稍微调整一下即可使用。-IHS-based shadow detection process more easy to use, we can try, there are problems to discuss, tweak can be used.
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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
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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.
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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
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HSV颜色空间下的阴影检测 具有较好的效果-shadow detection
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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
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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.
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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
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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.
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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
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基于matlab的阴影抑制算法实现包含边缘检测和颜色分割等算法实现对比-shadow detection using edge detect and color segment etc
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