Description: 此设计要求能够实现将医学图像进行识别的过程，包括了图像预处理、图像特征提取及分类判决三大模块。在预处理这一步中主要实现的是将彩色图像转换为灰度图像，灰度图像的二值化，直方图修正，去除干扰、噪声以及差异，边缘增强等；第二模块是图像的特征提取。由于对象的物理与几何特性差异，在影像中表现为局部区域的灰度产生明显变化，形成影像特征，而图像特征提取就是对其进行加工、整理、分析、归纳以便提取构成目标影像的特征，得到能反映图像内容区别于其他事物的本质特征；分类判决作为第三模块，则是要在第二步的基础上采用某种分类判别函数与判别规则，通过对目标特征的分析和匹配来识别目标。-this design requirements to achieve medical image identification process, including the image preprocessing, Image feature extraction and classification ruling three modules. This pretreatment step in the main achievement of the color image is converted to grayscale images, the two gray-scale image value, histogram amendment to remove interference and noise variance Edge Enhancement; the second module is the image feature extraction. Because of the physical objects with geometric characteristics difference in the images showed local area Gray significant changes, the video features, feature extraction and image is its processing, compilation, analysis, summarized in order to extract constitute the target image features can be reflected image as distinct from the other characteristics of th Platform: |
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Author:uhih |
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Description: 现在小波的研究是数字信号处理最前沿的，这就是一个很经典的小波实现语音增强的源码-now wavelet of digital signal processing is the most cutting-edge, This is a classic wavelet voice enhanced source Platform: |
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Author:申勤 |
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Description: 利用Haar小波实现对语音信号的边缘增强，编程环境为matlab7.1-use of voice signals to achieve the edge enhancement, the programming environment for matlab7.1 Platform: |
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Author:Shenhong |
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Description: DigitalFiltering_gui applies methods of digital image analysis to images AND grids
This includes a broad suite of smoothing (low-pass) filters, as well as contrast
enhancement filters, edge enhancement filters, edge detection filters, general high-pass filters, etc.-DigitalFiltering_gui applies methods of digital image analysis to images AND grids This includes a broad suite of smoothing (low-pass) filters, as well as contrast enhancement filters, edge enhancement filters. edge detection filters. general high-pass filters, etc.. Platform: |
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Description: 中南大学数字图像处理上机实验指导书及参考答案，全部由本人编写，在MATLAB 6.5上运行通过。包括图像变换及频域滤波，空间域图像增强，图像边缘检测及参考图片，比网上流传的好的多，是学习图像处理的基础。-Zhongnan University of digital image processing on the experimental guide and reference book answers all prepared by me, MATLAB 6.5 to run through. Image Transform and including the frequency domain filtering and spatial domain image enhancement, edge detection and reference photographs, spread over the Internet much more study is the basis of image processing. Platform: |
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Author:潘世雄 |
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Description: 文章介绍了基于模糊增强的边缘检测 有源程序 及仿真图像-This paper introduces the fuzzy enhancement based on edge detection has the source code and simulation image Platform: |
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Author:陈浩 |
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Description: 自己编写的基于直方图均衡化以及边缘增强的程序！-I have written based on histogram equalization and edge enhancement procedure! Platform: |
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Author:代松 |
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Description: 车牌检测与识别技术的相关技术：
提出一种梯度增强法对图像边缘进行增强,
该方法主要通过对图像本身信息进行简单梯度变换以突出图像边缘,
并辅以数学形态学中的膨胀法实现牌照的快速定位. 在字符分割部分,
给出了最小面积旋转法以确定牌照的最佳旋转角,
并采用垂直投影法分割牌照中的字符
-License plate detection and recognition technology related technologies: a gradient-enhanced method of image edge enhancement, the method of the image itself, mainly through a simple gradient transform information in order to highlight the image edge, supplemented by mathematical morphology in the expansion of law implementation License Express location. in the character segmentation part, give a minimum area of rotation method to determine the best rotation angle license and using the vertical projection of the character segmentation license Platform: |
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Author:张i |
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Description: 拉普拉斯边缘检测与图像增强，Matlab6.5实现的.m文件，附有原图、检测到的边缘图和增强后的图。-Laplacian edge detection and image enhancement, Matlab6.5 of implementation. M file, with image, detected and enhanced edge map after the map. Platform: |
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Author:张宇 |
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Description: DIBDisplay图像处理小程序 ，有图像几何变换，图像增强，图像频域分析，边缘检测，能处理256色位图和24位真彩色图像- Image processing procedures, have the image geometric transform, image enhancement, image frequency domain analysis, edge detection, can handle 256-color bitmap and 24 Bit True Color Image-Small DIBDisplay image processing procedures, geometric image transformations, image enhancement, image frequency domain analysis, edge detection, capable of handling 256-color bitmap and true 24-bit color images- Image processing procedures, have the image geometric transform, image enhancement, image frequency domain analysis, edge detection, can handle 256-color bitmap and 24 Bit True Color Image Platform: |
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Author:li yan |
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Description: 图像在传输过程中，传递函数对高频成分有衰减作用，造成图像模糊，细节轮廓不清楚。图像锐化就是补偿图像的轮廓，增强图像的边缘及灰度跳变的部分，使图像变得清晰。亦分空域处理和频域处理两类[3]。-Image in the transmission process, the transfer function of the role of high frequency components are attenuated, resulting in image blurring, the details of the outline is not clear. Image sharpening is the outline of the image compensation, edge enhancement and gray-scale image of the hopping part of the image became clear. Also sub-space and frequency domain processing to deal with two types of [3]. Platform: |
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Author:王瑜 |
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Description: 基于图像边缘特征的图像放大增强算法，提高图像的分辨率。-The edge of the characteristics of image-based image enhancement algorithms to enlarge and enhance image resolution Platform: |
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Author:feelfree |
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Description: 完成基于各向异性的自适应超声图像去噪和边缘增强方法，参考Adaptive Anisotropic Diffusion for Ultrasonic Image Denoising and Edge Enhancement.pdf，加入了m参数-The completion of ultrasound-based adaptive anisotropic image denoising and edge enhancement method, reference Adaptive Anisotropic Diffusion for Ultrasonic Image Denoising and Edge Enhancement.pdf, joined the m parameters Platform: |
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Author:zhanghongwei |
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Description: INSTRUCTIONS FOR RUNNING NSDCALC SOFTWARE
Nsdcalc.m is a Matlab program for performing the image enhancement process
described in the accompanying paper. Place the program in your work directory
along with the demonstration data file grav.txt. At the Matlab prompt type
>> g=load( grav.txt )
-and you should see a variable called g which is 200x200 double precision
reals appear in the workspace. To filter this data type
>> f=nsdcalc(g,3,0)
which will calculate the standard deviation in a 3x3 window and apply
no prior smoothing. The results will then appear onscreen in a window.
You may need to adjust the histogram of the output for optimal display.-Nsdcalc is a Matlab program that performs normalised standard deviation analysis for edge enhancement of gravity and EM potential-field datasets Platform: |
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Author:蒋礼 |
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Description: 该演示中包含的代码演示如何氡相似的功能，可以用来提高（以及部分）在Connectome电磁图像单元格边界。
请举出下列文件如果您发现此代码有用：
Ritwik库马尔，阿梅里奥五雷纳和Hanspeter Pfister说“氡样的特点及其应用Connectomics”，接受，IEEE计算机学会研讨会在生物医学图像分析（MMBIA）2010年数学方法
http://seas.harvard.edu/〜 rkkumar
radonLikeFeaturesDemo.m：演示边缘增强用氡相似的功能，
getEdgeFeatures.m：助手为高斯函数的二阶导数滤波器
makeBarFilters.m：助手为高斯函数的二阶导数滤波器
sample.png：示例图像在此演示使用-The demo included in the code demonstrates how Radon-Like Features can be used to enhance (and segment) cell boundaries in Connectome EM images.
Please cite the following paper if you find this code useful:
Ritwik Kumar, Amelio V. Reina & Hanspeter Pfister, “Radon-Like Features and their Application to Connectomics”, accepted, IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) 2010
http://seas.harvard.edu/~rkkumar
radonLikeFeaturesDemo.m : Demonstrates edge enhancement using Radon-Like Features
getEdgeFeatures.m : Helper function for Gaussian Second Derivative Filters
makeBarFilters.m : Helper function for Gaussian Second Derivative Filters
sample.png : Sample image for use in this demo
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Author:zhou |
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Search - edge enhancement matlab