Description: 图像分割中SNAKE算法的Matlab演示程序,程序为GUI,sdemo.m为住程序,参数设置可通过交互设置。-Image segmentation algorithm in Matlab demo SNAKE procedures, procedures for the GUI, sdemo.m for the live program, parameter settings can be set through the interaction. Platform: |
Size: 3317760 |
Author:全刚 |
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Description: 该gui函数基本上包括图像处理里面的最基本处理,相当于一个小型photoshop。比如读取文件,几何变换中的垂直镜像,平移,旋转,缩放;正交变换的DFT,FFT,DCT,DST,DHT,DWashT;灰度处理中的反色,直方图均衡,全局线性变换,分段线性变换,指数非线性变换,对数非线性变换;图像增强里面的加噪声,平滑,锐化,伪彩色增强;图像分割里面的灰度阈值法,Robert,Laplace,sobel,prewitt,canny算子边缘检测法;图像恢复里面的直接逆滤波,维纳滤波;图像编码里面的霍夫曼编码,行程编码-Basically, the gui functions including the most basic image processing inside the handle, which is equivalent to a small photoshop. For example, read the document, the geometric transformation of the vertical mirroring, shifting, rotating, zooming orthogonal transformation of the DFT, FFT, DCT, DST, DHT, DWashT anti-gray color processing, histogram equalization, global linear transformation , piecewise linear transformation, index of non-linear transform of the number of non-linear transformation image enhancement which increases the noise, smoothing, sharpening, pseudo-color enhancement the gray-scale image segmentation inside the threshold, Robert, Laplace, sobel, prewitt, canny edge detection operator method image restoration inside direct inverse filtering, Wiener filtering image coding inside the Huffman code, and so on Run-Length Coding Platform: |
Size: 398336 |
Author:guhuxiang |
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Description: 该程序为gui程序,程序中很多菜单可以实现三维体可视化,区域生长算法进行图像分割以及栅状图三维可视化,界面很好!-The program for the gui program, the program, many of the menu can be achieved visualization of three-dimensional body, region growing algorithm for image segmentation and visualization of three-dimensional grid-like map, interface very good! Platform: |
Size: 246784 |
Author:成林 |
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Description: 基于MATLAB-GUI图形界面的数字图像处理软件 本系统设计基于GUI图形界面,用matlab语言编写代码,实现功能包括图象的读取、存储、显示、直方图均衡化、阈值化、小波分解、小波重构、加噪、去噪、平滑、锐化、边缘检测、图像分割等-MATLAB-GUI graphical user interface based on digital image processing software of the system design is based on GUI graphical interface, using matlab language to write code to achieve functionality, including image reading, storage, display, histogram equalization, thresholding, wavelet decomposition, wavelet reconstruction, add noise, denoising, smoothing, sharpening, edge detection, image segmentation, etc. Platform: |
Size: 2992128 |
Author:chengmengli |
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Description: 这是一个关于图像自动分割的程序,效果不错哦 -This is an automatic segmentation procedure on the image, the effect is good, oh Platform: |
Size: 2205696 |
Author:zhou |
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Description: 分别使用otsu法、迭代法和灰度均值法对图像中目标进行分割,有MATLAB构造的GUI界面和测试图片-Were using otsu method, iterative method and gray value method of image target segmentation, have constructed MATLAB GUI interface and test images Platform: |
Size: 144384 |
Author:walle |
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Description: Melanoma is one of the deadly diseases among skin
cancer. Melanoma detection can be done by dermatological
screening and biopsy tests which are time consuming and
expensive that requires experts from medical field. Due to cost of
dermatologist to screen every patient, an automated system is
needed for melanoma detection so that death rates can be
minimized if detected early. It can be done using various image
processing techniques. An important step in the automated
system of melanoma detection is the segmentation process which
locates the border of skin lesion in order to separate the lesion
part from background skin for further feature extraction. Platform: |
Size: 2911232 |
Author:Deep123
|
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Description: MATLAB-GUI graphical user interface based on digital image processing software of the system design is based on GUI graphical interface, using matlab language to write code to achieve functionality, including image reading, storage, display, histogram equalization, thresholding, wavelet decomposition, wavelet reconstruction, add noise, denoising, smoothing, sharpening, edge detection, image segmentation, etc. Platform: |
Size: 4096 |
Author:samy12 |
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Description: 程序能实现简单环境下车牌图像的预处理定位分割和识别功能,另外还有BUI界面功能(The program can realize the pretreatment, location, segmentation and recognition of license plate image in simple environment, and also has the function of BUI interface.) Platform: |
Size: 193536 |
Author:麦康机 |
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Description: 首先对指纹图像进行预处理,包括图像的分割,增强,二值化,细化。对细化后的图像进行特征点的提取,最后通过细节特征匹配完成指纹的识别。(Firstly, the fingerprint image is preprocessed, including image segmentation, enhancement, binarization and thinning. The refined image is extracted by feature points, and the fingerprint recognition is completed by minutiae feature matching.) Platform: |
Size: 700416 |
Author:qwerer22 |
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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 |
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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 |
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