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[2D GraphicWienerFilter

Description: 自己写的维纳滤波与逆滤波程序,大家可以对比对比这两种滤波器的效果~-Wrote it myself Wiener filtering and inverse filtering process, we can contrast comparing the effect of these two filters ~
Platform: | Size: 49152 | Author: 风之子 | Hits:

[Special Effectsshuzituxiangchuli

Description: 用matlab编程工具,编写具有操作界面的应用程序,通过菜单、对话框,选项框等界面控制,对算法进行演示。需要在应用系统中实现的算法及功能包括: 1、图像增强算法 (1)灰度线形变换:亮度及对比度可以调节(通过控制参数的改变,能够实时预览变化结果); (2)直方图均衡:可在界面上对比均衡前后的效果。 2、图像变换算法 (3)对一幅彩色图像进行DCT变换和反变换,对比结果和原图; (4)仅保留左上角16X16的DCT系数,进行反变换,计算结果图的信噪比SNR。 3、图像分割算法 (5)采用最优阈值算法对灰度图像进行分割; (6)用Canny算法对灰度图像进行边缘检测; (7)用hough变换,检测边缘图像中的直线,并用不同颜色将检测出的直线叠加显示到原图像上。 -Preparation of a user interface with Matlab programming tools, applications, menus, dialog boxes, option boxes and other interface control, the algorithm demo. Algorithms and functions that need to be achieved in the application system including: 1, the image enhancement algorithm (1) gray linear transformation: the brightness and contrast can be adjusted (by controlling the change of the parameters, it is possible to real-time preview changes result) (2) Histogram equalization : contrast before and after equalization effect in the interface. 2, an image transformation algorithm (3) for a color image DCT transform and inverse transform, comparing the results and the original (4) to retain only the upper left corner of 16x16 DCT coefficient, the inverse transform, the signal-to-noise ratio SNR calculation results of FIG. . 3, image segmentation algorithm (5) The optimal threshold algorithm to gray-scale image segmentation (6) Canny algorithm for edge detection of gray-scale images (
Platform: | Size: 822272 | Author: 张涛 | Hits:

[VC/MFCmatlab

Description: 图像匹配是指通过一定的匹配算法在两幅或多幅图像之间识别同名点,如二维图像匹配中通过比较目标区和搜索区中相同大小的窗口的相关系数,取搜索区中相关系数最大所对应的窗口中心点作为同名点。其实质是在基元相似性的条件下,运用匹配准则的最佳搜索问题。图像匹配主要可分为以灰度为基础的匹配和以特征为基础的匹配。-Image matching means through a certain matching algorithm identification between two or more images corresponding points, such as 2D image matching by comparing the target area and the search area in the same size of the window correlation coefficient, the correlation coefficient of the search area maximum corresponding to the same name as the center point of the window. Its essence is the similarity in primitive conditions, the use of the best search problems matching criterion. Image matching can be divided into in grayscale-based matching and feature-based matching.
Platform: | Size: 3072 | Author: 钟富强 | Hits:

[Special EffectsMATLAB指纹识别

Description: 本文主要对指纹图像进行三方面处理:图像预处理、特征提取和特征匹配。图像预处理包括四个步骤:图像分割、滤波增强、二值化、细化,对指纹图像进行预处理后,去除了原图像的冗余部分,方便后续的识别处理;特征提取主要是提取指纹图像细化后的端点和分叉点;特征匹配是利用两个指纹的图像进行特征点比较,来确定两幅图像是否来自于同一手指。 该课题为基于MATLAB的指纹识别系统,带有丰富的人机交互GUI界面。目前毕业设计选题中,传统指纹识别不易得到高分,基本都是对指纹进行处理,而没有比对两者指纹是不是同一个人,轻易被导师被否决。因此建议做成两个指纹进行比对,输出结果,以文字和声音方式播报结果。整个设计在一个GUI界面上完成。(This paper mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter enhancement, binarization and thinning. After preprocessing fingerprint image, the redundant part of the original image is removed to facilitate the subsequent recognition processing; feature extraction is mainly to extract the endpoint and bifurcation points after thinning fingerprint image; feature matching is to determine two images by comparing the feature points of two fingerprint images Whether it comes from the same finger.)
Platform: | Size: 2781184 | Author: 王春水 | Hits:

[Special EffectsMATLAB指纹识别(GUI,比对两幅指纹,完美运行)

Description: 本设计为基于MATLAB的指纹识别系统。本设计系统主要对指纹图像进行三方面处理:图像预处理、特征提取和特征匹配。图像预处理包括四个步骤:图像灰度化、滤波增强、二值化、细化,对指纹图像进行预处理后,去除了原图像的冗余部分,方便后续的识别处理;特征提取主要是提取指纹图像细化后的端点和分叉点;特征匹配是利用两个指纹的图像进行特征点比较,来确定两幅图像是否来自于同一手指。(This design is a fingerprint identification system based on MATLAB. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.)
Platform: | Size: 3789824 | Author: www.wobishe.com | Hits:

[Special EffectsMATLAB指纹门禁系统GUI界面

Description: 本设计为基于MATLAB的指纹识别系统。带GUI可视化平台。本设计系统主要对指纹图像进行三方面处理:图像预处理、特征提取和特征匹配。图像预处理包括四个步骤:图像灰度化、滤波增强、二值化、细化,对指纹图像进行预处理后,去除了原图像的冗余部分,方便后续的识别处理;特征提取主要是提取指纹图像细化后的端点和分叉点;特征匹配是利用两个指纹的图像进行特征点比较,来确定两幅图像是否来自于同一手指。(This design is based on Matlab fingerprint identification system. With GUI visualization platform. This design system mainly processes fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image graying, filtering enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed to facilitate the subsequent identification processing; feature extraction is mainly to extract the refined endpoint and bifurcation point of fingerprint image; feature matching is to determine two images by comparing the feature points of two fingerprint images If it comes from the same finger.)
Platform: | Size: 3466240 | Author: MATLAB道长 | Hits:

[matlabMATLAB指纹识别[GUI界面,报警,门禁系统]

Description: 本设计为基于MATLAB特征点匹配的指纹识别系统。带有一个GUI界面。主要对指纹图像进行三方面处理:图像预处理、特征提取和特征匹配。图像预处理包括四个步骤:图像分割、滤波增强、二值化、细化,对指纹图像进行预处理后,去除了原图像的冗余部分,方便后续的识别处理;特征提取主要是提取指纹图像细化后的端点和分叉点;特征匹配是利用两个指纹的图像进行特征点比较,来确定两幅图像是否来自于同一手指。(This design is a fingerprint recognition system based on MATLAB feature point matching. With a GUI interface. Fingerprint image is mainly processed in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed to facilitate the subsequent identification processing; feature extraction is mainly to extract the refined endpoint and bifurcation point of fingerprint image; feature matching is to determine the two images by comparing the feature points of two fingerprint images Is it from the same finger.)
Platform: | Size: 3682304 | Author: 可乐一生 | Hits:

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