Description: 对由光源颜色变化引起的图像色彩偏差,进行了校正,并在YCbCr颜色空间建立了Cb-Cr色度查找表和亮度信息联合的肤色模型,应用预处理技术,去除部分非人脸区域,减少人脸检测的搜索空间,并采用模板匹配方法在人脸候选区域检测人脸.实验表明,该方法能够有效的从复杂环境的彩色图像中检测出左右旋转不超过45°的人脸,且不受人脸表情、尺度和数目的影响,且错误率较低.-Color by the light source caused by the change of image color deviation, a correction, and YCbCr color space established a Cb-Cr chrominance and luminance information look-up table of the color model of the joint application of pre-treatment technology, to remove some non-human face region, Face detection to reduce the search space, using a template matching method in the face candidate region detection of human faces. experiments show that the method can be effective in complex environments from color images detected no more than about 45 ° rotation of the human face, and from Facial Expression, scale and number of impact, and lower error rate. Platform: |
Size: 191488 |
Author:lll |
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Description: 端点检测算法采用现阶段比较精确的时频方差检测法，模式识别和模板匹配采用的是改进后的DTW算法（主要是限定了DTW的搜索路径，进一步精确了DTW的平行四边形的形状，进一步的减少匹配中的参数存贮量以及多余的搜索路径）。-Endpoint detection algorithm uses more precise at this stage variance time-frequency detection, pattern recognition and template matching is based on the improved DTW algorithm (DTW is mainly limited to the search path, and further precision of the DTW parallelogram shape, and further reduction of matching the parameters in the storage volume as well as the extra search path). Platform: |
Size: 7168 |
Author:李兰菊 |
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Description: Phase Based Template Matching: Phase information is used for matching the input imagery with the template. Both the images are filtered with canny edge detector. The timing efficiency is introduced by implementing skipping steps while doing correlation. The advantage of Phase based correlation technique is that it shows good response against shift/brightness variation and noise addition i.e. salt & pepper/Gaussian noise [1,2]. Templates includes small portion of cropped from input imagery with gaussian noise introduced in them. Platform: |
Size: 71680 |
Author:zhangxq |
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Description: .testpipei_1.m文件为基于灰度的模板匹配代码，仅为单独使用，不具有交互性
2.testpipei_2.m文件为基于灰度的快速模板匹配代码，仅为单独使用，不具有交互性
3.three.m为带有界面的演示程序，包含了上述两种算法，在MATLAB7.1中，在命令窗口下输入
edit three （three文件一定要在work文件夹下）回车后就可以进行使用了。
4.testpipei_1.m和testpipei_2.m的函数使用说明详细见各自的文件内
5.testpipei_1.m,testpiei_2.m,getOrder.m,gettezheng.m都为函数文件
three.m和three.fig共同为演示界面文件。-. testpipei_1.m file for the template matching based on gray code, only single use, non-interactive documents 2.testpipei_2.m fast gray-based template matching code, only single use, non-interactive 3. three.m for a demo program interface that contains the above two algorithms, in MATLAB7.1, in the command window, enter the edit three (three documents must be in the work folder) after carriage return can be used . 4.testpipei_1.m and testpipei_2.m a function of the use of a detailed description see the respective paper 5.testpipei_1.m, testpiei_2.m, getOrder.m, gettezheng.m document for function three.m and three.fig together for the presentation interface file. Platform: |
Size: 196608 |
Author:郭飞飞 |
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Description: 简单的模板程序配准，匹配的效果基本上可以满足一般的要求。实用，简单。-two functions used to implement template matching. the program finds the template image inside the target image using correlation. Platform: |
Size: 9216 |
Author:wangwei |
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Description: 本文论述并设计实现了一个脱机自由手写体数字识别系统。文中首先对待识别数字的预处理进行了介绍，包括二值化、平滑滤波、规范化、细化等图像处理方法；其次，探讨了如何提取数字字符的结构特征和笔划特征，并详细地描述了知识库的构造方法；最后采用了以知识库为基础的模板匹配识别方法,并以MATLAB作为编程工具实现了具有友好的图形用户界面的自由手写体数字识别系统。实验结果表明，本方法具有较高的识别率，并具有较好的抗噪性能。-In this paper, and design implementation of a freely Offline handwritten numeral recognition system. First, identify the figure of the pre-processing treatment were introduced, including binarization, smoothing filtering, standardization, refinement, such as image processing method Secondly, to explore how to extract the structural features of characters and stroke characteristics, and described in detail Knowledge of the construction method Finally the use of a Knowledge-based template matching to identify methods and MATLAB as a programming tool to achieve with a friendly graphical user interface of freely handwritten numeral recognition system. The experimental results show that this method has higher recognition rate, and has better anti-noise performance. Platform: |
Size: 349184 |
Author:kongchao |
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Description: haar小波变换 在图像配准中可以使用 进而进行基于小波金字塔的模板交互匹配-haar wavelet transform in image registration can be used to carry out based on wavelet pyramid interactive template matching Platform: |
Size: 157696 |
Author:王华 |
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Description: 利用logGabor函数分别提取待匹配图和模板图的相位信息作为匹配基元，进行互相关运算，寻找最佳匹配位置-Use to be extracted separately logGabor function map and template matching of the phase diagram as an information matching primitives to carry out cross-correlation calculation, find the best match position Platform: |
Size: 1024 |
Author:lu |
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Description: 基于模板匹配的图像识别的源代码，为初学者提供部分参考。-Image recognition based on template matching of the source code, in order to provide some reference for beginners. Platform: |
Size: 1024 |
Author:扬子 |
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Description: 关于数字图像处理中的ssda模板匹配方法。程序实现在指定图像中生成一个大小固定的矩形区域，然后用模板匹配法找出矩形位置。使用SSDA算法实现。包括源程序、待处理图像以及运行结果截图。-On digital image processing ssda template matching method. Procedures to achieve the specified image to generate a fixed size rectangular region, and then position the template matching method to find the rectangle. Using the SSDA algorithm. Including source code, pending results of the image and run shots. Platform: |
Size: 118784 |
Author:刘雨相 |
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Description: 视频处理有关MATLAB源程序，包括视频定位，视频模板匹配，视频分割，视频滤波，视频捕捉等-MATLAB source video processing, including video positioning, video template matching, video segmentation, video filtering Platform: |
Size: 1925120 |
Author:coolbage |
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Description: I have solved the hierarchical based template matching problem in matlab of success rate 100 Platform: |
Size: 200704 |
Author:ariful alam |
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Description: Automatic Vehicle Identification (AVI) has many
applications in traffic systems (highway electronic toll collection, red
light violation enforcement, border and customs checkpoints, etc.).
License Plate Recognition is an effective form of AVI systems. In
this study, a smart and simple algorithm is presented for vehicle’s
license plate recognition system. The proposed algorithm consists of
three major parts: Extraction of plate region, segmentation of
characters and recognition of plate characters. For extracting the
plate region, edge detection algorithms and smearing algorithms are
used. In segmentation part, smearing algorithms, filtering and some
morphological algorithms are used. And finally statistical based
template matching is used for recognition of plate characters. The
performance of the proposed algorithm has been tested on real
images. Based on the experimental results, we noted that our
algorithm shows superior performance in car license plate
recognition Platform: |
Size: 315392 |
Author:Serhat |
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Description: 使用滑动窗检测+模板匹配实现图片中的数字识别。MATLAB编程实现。-To realize number identification by using slide window and template matching in MATLAB Platform: |
Size: 173056 |
Author:许伊宁 |
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Description: 用于图像处理中的模板匹配，在一个大模板中标记出目标子模板(It is used for template matching in image processing, and the target sub template is marked in a large template.) Platform: |
Size: 98304 |
Author:chongzi290167 |
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Search - template matching in matlab