Description: 本课题的主要内容是图像预处理,它主要从摄像头中获取人脸图像然后进行处理,以便提高定位和识别的准确率.该模块主要包含光线补偿、图像灰度化、高斯平滑、均衡直方图、图像对比度增强，图像预处理模块在整个系统中起着极其关键的作用，图像处理的好坏直接影响着后面的定位和识别工作,内有源代码和全部论文资料-this issue is the major content of image preprocessing, mainly from the camera to obtain images Face then, in order to improve the recognition and positioning accuracy. The module consists mainly of light compensation, Grayhound, Gaussian smoothing, balanced histogram, image contrast enhancement, image pre- processing module in the system plays a crucial role in image processing will have a direct impact behind the positioning and identification, within Active code and all papers information Platform: |
Size: 2281472 |
Author:陈万通 |
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Description: Character Recognition Example (I&II)- Pre-processing of Image (Matlab Code)-Character Recognition (I Platform: |
Size: 78848 |
Author:廖智茗 |
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Description: 包括整个虹膜识别的预处理部分，分为多个函数部分，即简单图像增强，Canny算子提取边缘，Hough变换定位内外圆形边界进行风格，以及最后的归一化 -- 将圆环展为矩形。附带几张图像及自制的界面程序，并不是很完善，但整体的预处理任务已经较好的完成，如果进一步提高性能，可以先把Hough变换改为最小二乘拟和算法。-Cover the whole iris recognition pre-processing part is divided into multiple function part, that is, a simple image enhancement, Canny operator edge extraction, Hough transform internal and external circular positioning border style, and finally normalized Circle exhibition will be rectangular. Fringe images and made a few interface procedures, is not very perfect, but the overall pre-processing tasks have been better to complete, if further improve performance, first Hough transform can be replaced by least squares fitting algorithm. Platform: |
Size: 118784 |
Author:李杨 |
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Description: 车牌识别中，车牌定位的源码；包括图像预处理程序，灰度化，中值滤波，去燥，定位等。-License plate recognition, license plate location of the source including image pre-processing procedures, gray, and median filter to dry, positioning and so on. Platform: |
Size: 2760704 |
Author:wls |
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Description: 人眼虹膜识别的图像预处理，包括边缘检测，虹膜定位等，可以实现瞳孔的精定位-The human eye iris recognition of image pre-processing, including edge detection, iris positioning, you can realize the essence of pupil positioning Platform: |
Size: 2197504 |
Author:kongqiang |
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Description: 针对压力锅炉机组主蒸汽管道碳钢部件金相组织石墨化程度的检测问题，选择
适合的算法，将数字图像处理和模式识别技术运用于金相组织测量之中,建立一套对
石墨化级别进行识别的图像检测系统。针对石墨化部分原始图片灰度区间窄的特
征，通过图像预处理使图像清晰，突出石墨组织，采用边缘检测方法，提取出要检
测的粗大呈黑色的石墨组织。最后采用最近领域法进行图像识别，判断碳钢石墨化
的程度。-Pressure boiler unit for the main steam pipe of carbon steel components of the degree of microstructure of graphite detection problem, select the appropriate algorithms, digital image processing and pattern recognition techniques applied to measurement of microstructure, and to establish a level of graphitization identifiable image detection system. For graphite gray picture of part of original narrow range of features, image pre-processing the image through the clear, prominent graphite organizations, the use of edge detection methods, extracted to detect the coarse graphite black organizations. Finally the use of the recent field of image recognition method to determine the extent of graphitization of carbon steel. Platform: |
Size: 1831936 |
Author:孙建青 |
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Description: Matlab手写文字识别源代码
这个Demo展示手写文字识别的各个步骤，包括图像的预处理、裁剪、大小转换、人工神经网络训练和识别等等。-Handwritten character recognition Matlab source code of this Demo display of handwritten character recognition of the various steps, including image preprocessing, cutting, size conversion, artificial neural network training and recognition and so on. Platform: |
Size: 102400 |
Author:lcp |
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Description: 这是一个人脸识别的程序，先对图像预处理，然后用PCA进行特征提取。-This is a face recognition process, first on the image pre-processing, and then use PCA for feature extraction. Platform: |
Size: 2676736 |
Author:ll |
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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: |
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Author:kongchao |
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Description: 使用说明
第一步：训练网络。使用训练样本进行训练。
第二步：识别。首先，打开图像（256色）；再次，进行归一化处理，点击“一次性处理”；最后，点击“R”或者使用菜单找到相应项来进行识别。识别的结果显示在屏幕上，同时也输出到文件result.txt中。
该系统的识别率一般情况下为90 。
此外，也可以单独对打开的图片一步一步进行图像预处理工作，但要注意，每一步工作只能执行一遍，而且要按顺序执行。
具体步骤为：“256色位图转为灰度图”－“灰度图二值化”－“去噪”－“倾斜校正”－“分割”－“标准化尺寸”－“紧缩重排”。
注意，待识别的图片要与win.dat和whi.dat位于同一目录，这两文件保存训练后网络的权值参数。-Help
The first step: Training Network. The use of training samples for training.
Step two: identification. First, open the image (256 colors) again, normalized to deal with, click on the "one-time deal" Finally, click "R" or use the menu to find the corresponding items to be identified. Recognition results show up on the screen, but also output to a file Result.txt Medium.
The system s recognition rate under normal circumstances was 90 .
Alternatively, you could open a separate picture of the image pre-processing step by step job, but bearing in mind that each step can only run job again, but according to the order of implementation.
Concrete steps as: "256-color bitmap to grayscale"- "two grayscale values of"- "De-noising"- "tip-tilt correction"- "split"- "the standardization of size"- "tight rearrangement."
Note that to be identified with the picture win.dat and whi.dat located in the same directory, these two files after training the weights of the netw Platform: |
Size: 64512 |
Author:李晓国 |
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Description: 在进行车牌识别的预处理过程中,如何有效地提高车牌图像质量是一个关键,这一步处理的好坏将直接影响到后面车牌识别的效果。 本文重点研究直方图修改技术增强图像方法在车牌识别预处理中的应用,给出了直方图修改技术的原理,以及直方图均衡化、规定化和对比度调整的原理,最后用MATLAB来实现车牌图像增强的效果。-License Plate Recognition in the pre-treatment process, how to effectively improve the image quality license plate is a key to dealing with the merits or demerits of this step will directly affect the effectiveness of the back license plate recognition. This article focuses on the image histogram modification method to enhance license plate recognition in the pre-processing of applications, given the principle of histogram modification techniques, as well as histogram equalization, contrast adjustment provisions and the principles of using MATLAB to achieve the final vehicle the effect of brand image enhancement. Platform: |
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Author:storm |
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Description: 本文详细介绍了指纹识别技术的预处理算法，其中包括MATLAB算法仿真部分和DSP实现部分，并着重研究了预处理算法中的指纹图像归一化、图象滤波增强、图像分割、二值化、细化等关键技术。本文提出了改进的Gabor滤波算法，同时对其他预处理部分算法进行了优化，并将傅立叶分析方法应用于指纹图象处理研究中，采用MATLAB实现了本文讨论的所有算法。-This paper describes a fingerprint recognition algorithm technologies, including part of MATLAB simulation and DSP algorithms to achieve part of, and focus on the pre-processing algorithm of fingerprint image normalization, image enhancement filter, image segmentation, binarization, refining and other key technologies. In this paper, the Gabor filtering algorithm to improve at the same time some of the other pre-processing algorithm optimization, and Fourier analysis method has been applied to study of fingerprint image processing using MATLAB realized all the algorithms discussed in this paper. Platform: |
Size: 5605376 |
Author:孙丽平 |
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Description: 本文设计基于DCT的人脸识别系统，首先结合当今人脸识别的背景和发展状况讨论了人脸识别的研究内容及在各方面的应用；然后研究了人脸识别进行预处理，讨论了人脸识别预处理的其他方法，分析各种方法的利弊，最后采用DCT（离散余弦变换）实现人脸图像预处理中的降维处理；接下来对人脸图像的特征提取进行了研究，简单叙述了几何特征提取和代数特征提取，同时深入研究了基于DCT和PCA变换的人脸图像特征提取，从而实现是否对人脸识别系统识别率有所提高的研究；对于分类器的选择，本文对两种分类器进行了探讨，即最近邻分类器和BP神经网络分类器，同时采用BP神经网络分类器作为本次基于DCT的人脸识别系统设计的分类器，并对BP神经网络进行分类的算法进行设计，BP神经网络具有学习功能，只要采用本系统对训练图片进行训练，就可以记下图像的相关信息，对于测试图片，就可以很准确的识别出该图片是属于哪个的。最后，本文对整个人脸识别系统设计实验进行了实验分析，实验结果表明本文采用的方法切实有效。- This is the design of the DCT-based face recognition systems. First of all, the background light of the current face recognition and face recognition to discuss the development of research in all aspects of content and applications And then studied the pretreatment of face recognition to discuss the pre-treatment of other face recognition methods,and analysis of the pros and cons of various methods, finally, the use of DCT (discrete cosine transform) image pre-processing to achieve in the face of the reduced-order processing Next on the face image feature extraction have been studied, A brief description of the feature extraction and algebraic geometry feature extraction, while in-depth study based on the DCT and the PCA Transform face image feature extraction in order to achieve face recognition system to identify whether the rate of increase in the research For the choice of classifier, this paper carried out on two of classifier, that is, nearest neighbor classifier and BP neura Platform: |
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Author:刘文珍 |
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Description: 对人脸识别的贝叶斯方法ML中相似度计算公式进行了简化，对数据集的训练和人脸图像的预处理进
行了修改，提出了一种改进的贝叶斯人脸识另1】算法SML。在FERET人脸图像库的子集和南大人脸图像实验库上对
识别算法进行了测试和比较。实验表明，SML算法提高了ML算法的效率，克服了ML算法计算效率不高的缺陷，而
且SML的识别效率明显高于PCA方法。-Bayesian face recognition method on the ML in the similarity formula has been simplified, the data set of training and pre-processing face images were modified, an improved understanding of Bayesian Face Ling 1】 algorithm SML. In the FERET face image database a subset of the Southern adults face image recognition algorithm on the experimental database was tested and compared. Experiments show that, SML algorithm improves the efficiency of ML algorithm, ML algorithm overcomes the shortcomings of high efficiency, and the recognition rate significantly higher than SML PCA method. Platform: |
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Author:dmay |
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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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Search - pre processing image recognition