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    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。

    随软件附上设计文档和参考资料。


Date : 2008-12-14 Size : 2.18mb User : taoyingxue

DL : 0
The data files included are .MAT or *.dat (ASCII)files. The m-files and the data may be distributed, provided that the source is acknowledged in any publication and the data are not sold. Since this software is being distributed free of charge, the authors are not offering any technical support. Students who have any questions or difficulties using this software, or require the additional functions from the Signal Processing Toolbox should contact their professor. -The data files included are. MAT or*. dat (ASCII) files. The m-files and thedata may be distributed, provided that the source is acknowledged in anypublication and the data are not sold. Since this software is being distributedfree of charge, the authors are not offering any technical support. Students whohave any questions or difficulties using this software, or require theadditional functions from the Signal Processing Toolbox should contact theirprofessor.
Date : 2025-12-22 Size : 64kb User : hj

Java实现的遗传算法工具集:GA Playground -The GA Playground is a general purpose genetic algorithm toolkit where the user can define and run his own optimization problems. The toolkit is implemented in the Java language, and requires (when used as an application, in its full mode), a Java compiler and a very basic programming knowledge (just enough for coding a fitness function). Defining a problem consists of creating an Ascii definition file in a format similar to Windows Ini files, and modifying the fitness function in the GaaFunction source file. In addition, other methods can (optionally) be overwritten (e.g. the drawing method), other classes can be extended or replaced, and additional input can be supplied through Ascii files.
Date : 2025-12-22 Size : 561kb User : LaoGuan

matlab加载ascii文件,输出一个标准的数据矩阵
Date : 2013-03-13 Size : 1.62kb User : 267084486@qq.com

hinton2006年发表在science上的关于深度神经网络的文章Reducing the Dimensionality of Data with Neural Networks的matlab程序 mnistdeepauto.m //训练AutoEncoder的主文件 converter.m //将样本集从.ubyte格式转换成.ascii格式,然后继续转换成.mat格式 makebatches.m //创建小批量数据块用于RBM训练 rbm.m //训练RBM二进制隐层和二进制可视层 rbmhidlinear.m //训练RBM高斯隐层和二进制可视单元 backprop.m //进行fine-tuning的反向传播 CG_MNIST.m //fine_tuning时进行共轭梯度优化 mnistdisp.m //显示fine-tuning阶段任务 minimize.m //Carl Rasmussen s 最小化代码 t10k-images.idx3-ubyte 、t10k-labels.idx1-ubyte、train-images.idx3-ubyte、train-labels.idx1-ubyte均为样本数据集 如需实现程序功能,在matlab中run mnistdeepauto.m文件即可 -Supporting Online Material for Reducing the Dimensionality of Data with Neural Networks——hinton 2006 science
Date : 2025-12-22 Size : 10.17mb User : wyx
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