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Description: Tamura纹理特征提取程序，matlab编写，通过运行测试无误。另附有pdf介绍Tamura纹理特征定义，希望对大家有帮助。-Tamura texture feature extraction procedures, matlab prepared correctly by running the test. Tamura has attached pdf introduce the definition of texture features, in the hope that everyone has to help.
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Size: 703488 |
Author: 段西尧 |
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Description: Tamura纹理特征提取及应用的matlab代码，附有介绍Tamura纹理的文献以及测试用图片。-Matlab code for extracion and application of Tamura texture, attched paper about tamura texture and picture for test.
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Size: 703488 |
Author: LikeTheBird |
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Description: *****tamura模型算法的具体实现-tamura
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Size: 779264 |
Author: 张文斌 |
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Description: laws and tamura feature for texturing and color segmentation algorithm
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Size: 15360 |
Author: dani |
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Description: 该代码为用tamura算法提取图像的纹理特征，包括粗糙度、对比度等，可用于基于内容的图像检索系统-The code for the algorithm used tamura extracted texture features, including roughness, contrast, etc., can be used for content-based image retrieval system
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Size: 5120 |
Author: vivi |
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Description: Tamura纹理图像的MATLAB实现，粗糙度、对比度、方向度、线性度、规则度以及粗略度-MATLAB implementation Tamura texture, roughness, contrast, direction, linearity, and a rough rule degree degree
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Size: 158720 |
Author: 阿若 |
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Description: 摘要
车辆牌照识别(License Plate Recognition System, LPR)作为目标自动识别的一
种重要形式，可用于电子收费、出入控制、车流监控等众多场合，从而提高交通
管理自动化的程度，它的相关技术的研究正逐渐受到人们的重视。
本文主要介绍基于Run Length原理和Tamura纹理的车牌定位系统，该系统是基
于视频流进行开发的，主要包括车辆运动区域检测、车牌图像处理、车牌定位。
其中车辆运动区域检测利用多帧求平均的背景估计方法实现；车牌图像处理包括
灰度变换、中值滤波、边缘检测和二值化；车牌定位包括车牌水平定位、车牌垂
直定位、颜色判断和细定位。
该定位系统是在C++Builder环境下实现的，针对不同大小车牌、不同光照条件
的1400张图片进行测试，其定位率可以达到92 以上；同时也将该算法封装成DLL
库，应用在雷达测试仪中，对各种光照条件下的视频流进行测试。测试结果证明
本文算法简单、快速、准确率高，满足车牌识别系统实时性、通用性、和准确性
的要求，具有一定的应用价值。
关键词：车牌定位Run Length Tamura纹理-Abstract
As an important application form of target automatic recognition, vehicle license
plate recognition( LPR) technology is used in some fields, such as electron charging,
pass controlling and automobile stream supervising etc.
The paper introduces license plate location system based on the principle of Run
Length and Tamura texture feature. The system is developed based on video streams,
mainly includes vehicle motion region detection, license plate image processing, vehicle
license plate location. The detection of vehicle motion region uses the background
estimation methods based on the average of multi-frame license plate image processing
includes gray-scale transformation, median filtering, edge detection and binarization
the license plate location includes license plate horizontal location, license plate vertical
position, color judgments and accurate location.
The system is achieved in the C++ Builder environment, and it uses 1400 images
that are of different
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Size: 2509824 |
Author: 王述 |
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Description: Tamura纹理特征的matlab实现（一）---粗糙度-Tamura texture features of the matlab implementation (a)--- roughness
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Size: 3072 |
Author: 谢迪 |
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Description: Tamura纹理特征的matlab实现（二）---对比度-Tamura texture features of the matlab implementation (b)--- Contrast
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Size: 6144 |
Author: 谢迪 |
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Description: Tamura纹理特征的matlab实现（三）---方向度-Tamura texture features of the matlab implementation (c) the direction of degrees---
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Size: 4096 |
Author: 谢迪 |
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Description: Tamura纹理特征的matlab实现（四）---线性度-Tamura texture features of the matlab implementation (d)--- linearity
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Size: 4096 |
Author: 谢迪 |
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Description: Tamura纹理特征的matlab实现（五）---规则度-Tamura texture features of the matlab implementation (e)--- regularity
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Size: 3072 |
Author: 谢迪 |
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Description: Tamura的matlab程序，经过试验，可以试验，求前三个量-Tamura' s matlab program, after testing, to test, find the amount of the first three
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Size: 705536 |
Author: Andy |
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Description: Tamura纹理特征的六个分量对应于心理学角度上纹理特征的六种属性，分别是粗糙度（coarseness）、对比度（contrast）、方向度（directionality）、 线像度（linelikeness）、规整度（regularity）和粗略度（roughness）。其中，前三个分量对于图像检索尤其重要。程序包包含了matlab计算Tamura纹理特征的子函数和主函数。-Tamura texture features corresponding to the six components of texture features on the psychology of the six attributes, namely roughness (coarseness), contrast (contrast), the direction of degrees (directionality), lines such as degree (linelikeness), regularity (regularity ) and the rough degrees (roughness). Among them, the first three components is particularly important for image retrieval. Matlab calculation package includes Functions and Tamura texture features the main function.
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Size: 315392 |
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Description: matlab编写的用于图像纹理特征提取的tamura算法-tamura algorithm Matlab prepared for texture feature extraction
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Size: 703488 |
Author: 沈雪冰 |
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Description: tamura纹理特征提取分程序，包括粗糙度、对比度、方向、线性、规整度。-Tamura texture feature extraction sub-procedures, including roughness, contrast, orientation, linear regularity.
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Size: 4096 |
Author: 黑白童话 |
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Description: Tamura Feature filter for cbir
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Size: 3158016 |
Author: shahzada |
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Description: tamura features for image classificaion or CBIR
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Size: 703488 |
Author: tarun |
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Description: 计算图像的tamura纹理特征的函数，实现对纹理三大特征的加权,并能有效的对图像库图像进行纹理检索- calculate image tamura texture features, weighting function to achieve the texture three major characteristics，can retrieve effectively in the image library image for texture retrieval
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Size: 3072 |
Author: monica-shan |
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Description: 基于人类对纹理的视觉感知的心理学的研究，Tamura等人提出了纹理特征的表达。Tamura纹理特征的六个分量对应于心理学角度上纹理特征的六种属性，分别是粗糙度（coarseness）、对比度（contrast）、方向度（directionality）、 线像度（linelikeness）、规整度（regularity）和粗略度（roughness）。其中，前三个分量对于图像检索尤其重要。(Based on the study of human psychology for visual perception of texture, Tamura and others proposed the expression of texture features. Six properties of six components corresponding to Tamura texture features in view of psychology on texture features, respectively, roughness (coarseness) and contrast (contrast), (directionality), the direction of line like degree (linelikeness), regular degree (regularity) and rough degree (roughness). Among them, the first three components are particularly important for image retrieval.)
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Size: 351232 |
Author: sixiudant |
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