Description: 本软件主要用到的图像处理技术是：光线补偿、高斯平滑和二值化。在识别前，先对图像进行补光处理，再通过肤色获得可能的脸部区域，最后根据人脸固有眼睛的对称性来确定是否就是人脸，同时采用高斯平滑来消除图像的噪声，再进行二值化，二值化主要采用局域取阈值方法，接下来就进行定位、提取特征值和识别等操作。经过测试，图像预处理模块对图像的处理达到了较好的效果，提高了定位和识别的正确率。
-The software is mainly used in image processing technology: light compensation, Gaussian smoothing, and binarization. In the identification before processing the images fill light, and through the skin for possible face regions, the last under the eyes of the inherent symmetry of the face to determine whether that person faces, while the Gaussian smoothing to eliminate image noise, and then binarization, thresholding mainly local thresholding method, the next to locate, extract the eigenvalues ??and identification operations. After testing, the image pre-processing module for image processing to achieve better results and improve accuracy of positioning and identification. Platform: |
Size: 499712 |
Author:卢孝勋 |
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Description: 本文主要针对中文网页,分析比较了文本分类中的关于类别阈值的几种策略,分别是: 位置截尾法（RCut）、比例截尾法（PCut）、最优截尾法（SCut）以及改进型截尾（RTCut）-This paper reports a study with several thresholding strategies for Chinesetext categoryization,including rank-based thresholdi (Rcut),proportion-based assignments(Pcut) and score-based local optimization(Scut). Platform: |
Size: 28672 |
Author:叶眸 |
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Description: Description
Applies ideal binary mask to noise corrupted speech signal. The processing takes place within an FFT based short-time spectral analysis-modification-synthesis framework. The ideal binary mask is computed from an oracle (true) signal-to-noise ratio (SNR) through thresholding with local SNR criterion. The routine returns synthesized enhanced speech, the ideal binary mask and the true instantaneous spectral SNR. Platform: |
Size: 903168 |
Author:fatz |
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Description: 过渡区提取与分割的两篇经典外文论文，pdf格式。-"Local entropy based image transition region extraction and thresholding" and
"Modified Local entropy based image transition region extraction and thresholding" Platform: |
Size: 1853440 |
Author: |
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Description: 该文件夹中有四个matlab文件，说明如下：
binariztion.m: 二值化主程序，分别调用下面三种二值化算法。
otsu.m: 表示otsu全局二值化算法。
kittlerMet.m: 表示kittler 最小分类错误(minimum error thresholding)全局二值化算法。
niblack.m: 表示niblack局部二值化算法。
coins.bmp: 原始灰度图片。
coins_bw_otsu.bmp: otsu全局二值化结果。
coins_bw_kittler.bmp: kittler 最小分类错误全局二值化结果。
coins_bw_niblack.bmp: niblack 局部二值化结果。-
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In that folder there are four matlab file, as follows:
binariztion.m: the binarization main program, call the following three binarization algorithms.
otsu.m: the otsu global binarization algorithm.
kittlerMet.m: kittler minimum classification error (minimum error thresholding) global binarization algorithm.
niblack.m: niblack local binarization algorithm.
coins.bmp: the original gray-scale images.
coins_bw_otsu.bmp: global Otsu binarization results.
coins_bw_kittler.bmp: kittler minimum classification error global binarization results.
coins_bw_niblack.bmp: niblack local binarization results. Platform: |
Size: 55296 |
Author:小米 |
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Description: DM码的识别，运用凸包法检验条码边缘，采用全局和局部相结合的阈值分割法-DM code identification, use of bar code edge of the convex hull method test, using a combination of global and local thresholding segmentation method Platform: |
Size: 6262784 |
Author:何萍 |
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Description: 提出了基于24位彩色图像对人脸进行识别的方法，介绍的主要内容是图像处理，它在整个软件中占有极其重要的地位，图像处理的好坏直接影响着定位和识别的准确率。本软件主要用到的图像处理技术是：光线补偿、高斯平滑和二值化。在识别前，先对图像进行补光处理，再通过肤色获得可能的脸部区域，最后根据人脸固有眼睛的对称性来确定是否就是人脸，同时采用高斯平滑来消除图像的噪声，再进行二值化，二值化主要采用局域取阈值方法，接下来就进行定位、提取特征值和识别等操作。经过测试，图像预处理模块对图像的处理达到了较好的效果，提高了定位和识别的正确率。-Recognition method based on the 24 color images of human faces, described the contents of the image processing, it occupies an extremely important position in the software, image processing, a direct impact on the positioning and the accuracy of identification. The software is mainly used in image processing technology: light compensation, Gaussian smoothing and binarization. Before the recognition, image and photo processing, may face area by color, and finally the inherent symmetry of the eye of the face to determine whether the face while using the Gaussian smoothing to eliminate image noise, and then binarization, the binarization using local thresholding method, then locate and extract the eigenvalues and identification operations. Tested, the image processing of image pre-processing module to achieve good results, locate and identify the correct rate. Platform: |
Size: 4562944 |
Author:邓海鑫 |
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Description: 提出了基于24位彩色图像对人脸进行识别的方法，介绍的主要内容是图像处理，它在整个软件中占有极其重要的地位，图像处理的好坏直接影响着定位和识别的准确率。本软件主要用到的图像处理技术是：光线补偿、高斯平滑和二值化。在识别前，先对图像进行补光处理，再通过肤色获得可能的脸部区域，最后根据人脸固有眼睛的对称性来确定是否就是人脸，同时采用高斯平滑来消除图像的噪声，再进行二值化，二值化主要采用局域取阈值方法，接下来就进行定位、提取特征值和识别等操作。经过测试，图像预处理模块对图像的处理达到了较好的效果，提高了定位和识别的正确率。-Recognition method based on the 24 color images of human faces, described the contents of the image processing, it occupies an extremely important position in the software, image processing, a direct impact on the positioning and the accuracy of identification. The software is mainly used in image processing technology: light compensation, Gaussian smoothing and binarization. Before the recognition, image and photo processing, may face area by color, and finally the inherent symmetry of the eye of the face to determine whether the face while using the Gaussian smoothing to eliminate image noise, and then binarization, the binarization using local thresholding method, then locate and extract the eigenvalues and identification operations. Tested, the image processing of image pre-processing module to achieve good results, locate and identify the correct rate. Platform: |
Size: 4561920 |
Author:邓海鑫 |
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Description: 本文提出了基于24位彩色图像对人脸进行识别的方法，介绍的主要内容是图像处理，它在整个软件中占有极其重要的地位，图像处理的好坏直接影响着定位和识别的准确率。本软件主要用到的图像处理技术是：光线补偿、高斯平滑和二值化。在识别前，先对图像进行补光处理，再通过肤色获得可能的脸部区域，最后根据人脸固有眼睛的对称性来确定是否就是人脸，同时采用高斯平滑来消除图像的噪声，再进行二值化，二值化主要采用局域取阈值方法，接下来就进行定位、提取特征值和识别等操作。经过测试，图像预处理模块对图像的处理达到了较好的效果，提高了定位和识别的正确率。-In this paper, a method based on 24-bit color images of the human face recognition, introduced the main contents of the image processing, it occupies a very important position in the entire software, image processing, direct impact on the positioning and recognition accuracy. This software is mainly used in image processing technology: light compensation, Gaussian smoothing and binarization. , Prior to the recognition, the first on the image processing of the fill light, then the face area obtained through color possible to determine whether that is the face, and finally, under the inherent symmetry of the eyes of the face, while using Gaussian smoothing to eliminate the noise of the image, and then binarization, binarization using local thresholding method, the next positioning operation of the extracted feature values and identification. Tested, image pre-processing module to image processing to achieve better results, locate and identify the correct rate. Platform: |
Size: 1428480 |
Author:nick |
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Description: 本软件主要用到的图像处理技术是：光线补偿、高斯平滑和二值化。在识别前，先对图像进行补光处理，再通过肤色获得可能的脸部区域，最后根据人脸固有眼睛的对称性来确定是否就是人脸，同时采用高斯平滑来消除图像的噪声，再进行二值化，二值化主要采用局域取阈值方法，接下来就进行定位、提取特征值和识别等操作。经过测试，图像预处理模块对图像的处理达到了较好的效果，提高了定位和识别的正确率。-This software is mainly used in image processing technology: light compensation, Gaussian smoothing and binarization. , Prior to the recognition, the first on the image processing of the fill light, then the face area obtained through color possible to determine whether that is the face, and finally, under the inherent symmetry of the eyes of the face, while using Gaussian smoothing to eliminate the noise of the image, and then binarization, binarization using local thresholding method, the next positioning operation of the extracted feature values and identification. Tested, image pre-processing module to image processing to achieve better results, locate and identify the correct rate. Platform: |
Size: 1312768 |
Author:牛满 |
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Description: The local binary pattern (LBP) is a simple yet very efficient operator which labels
the pixels of an image by thresholding the neighborhood of each pixel and considers
the result as a binary number. Perhaps the most important property of the LBP operator in real-world applications is its invariance against monotonic gray level changes caused, for example, by illumination variations. Another equally important is its computational simplicity, which makes it possible to analyze images in challenging real-time settings. LBP is also very flexible: it can be easily adapted to different types of problems and used
together with other image descriptors Platform: |
Size: 7550976 |
Author:virtality |
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Description: The main function for local thresholding.
averagefilter.m A subroutine - a faster version of MATLAB s build-in fspecial( average , [3 3]).
bradley.png-The main function for local thresholding.
averagefilter.m A subroutine- a faster version of MATLAB s build-in fspecial( average , [3 3]).
bradley.png Platform: |
Size: 209920 |
Author:zhz |
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Description: 图像处理，图像滤波分割算法的整合：包括大部分常用的图像背景分割和滤波手段，可以作为初学者参考，包括OTSU法，全局局部阈值分割，最大熵法-Image processing, image filtering algorithm integrated segmentation: Most common image including background segmentation and filtering means can be used as a reference for beginners, including OTSU method, global local thresholding, maximum entropy method, etc. Platform: |
Size: 1024 |
Author:才 |
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Search - local thresholding