Description: ADAPTIVETHRESHOLD An adaptive thresholding algorithm that seperates the foreground from the background with nonuniform illumination-ADAPTIVETHRESHOLD An adaptive threshold ing algorithm that separates the foreground fr om the background with nonuniform illuminatio n Platform: |
Size: 147456 |
Author: |
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Description: 国外网上找的自适应阈值分割的源程序，测试过，好用。
可以下载-abroad to find online adaptive thresholding segmentation of the source, tested and ease of use. Can be downloaded s Platform: |
Size: 3072 |
Author:江南书虫 |
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Description: 自适应阈值分割算法，图像处理里面的算法之一，实现对于图像的分割-adaptive thresholding segmentation algorithm, image processing algorithm inside the one for the realization of image segmentation Platform: |
Size: 105472 |
Author:郭家驹 |
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Description: 一个自适应阈值处理程序，是图像分割领域难题的一个处理方向，该方法效果还不错An adaptive thresholding algorithm that seperates the background with nonuniform illumination.
％foreground from the background with nonuniform illumination.-An adaptive threshold process, the field of image segmentation is a difficult problem to deal with the direction of the effect of the method was not bad An adaptive thresholding algorithm that seperates the background with nonuniform illumination. Foreground from the background with nonuniform illumination. Platform: |
Size: 147456 |
Author:yemaoqiu |
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Description: 用Matlab写的自适应性阈值分割的一个实例，包含程序和图片。-Use Matlab to write the self-adaptive thresholding an instance that contains procedures and pictures. Platform: |
Size: 148480 |
Author:黄玲 |
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Description: 此文件夹主要是在学习自适应语音小波阈值去噪中所查找的文献，其中论文包括自适应算法的介绍、语音小波自适应去噪、其他数字信号自适应小波阈值去噪。-This folder is the main voice in the learning adaptive wavelet threshold denoising in the search of the literature, which includes adaptive algorithm thesis presentation, voice, wavelet adaptive denoising, and other digital signal adaptive wavelet thresholding. Platform: |
Size: 2902016 |
Author:maning |
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Description: Bradley, D., Roth, G., June 2007
We present a technique for real-time adaptive thresholding
using the integral image of the input. Our technique is an extension of a previous method. However, our solution
is more robust to illumination changes in the image. Additionally, our method is simple and easy to implement.
Our technique is suitable for processing live video streams at a real-time frame-rate, making it a valuable tool for
interactive applications such as augmented reality. Platform: |
Size: 553984 |
Author:王扶助 |
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