Description: 1． 对给定灰度图（或自选图）进行模糊变换，建立模糊平面。给出变换方法和结果。
2． 对图像做模糊增强。给出原理方法和试验结果。
3． 对增强后的结果图做平滑处理。给出所选平滑因子和结果图。
4． 对图像进行模糊边缘检测，说明实现步骤，给出结果图。
-1. Right to set the gray level (or on-demand) of the fuzzy transformation, fuzzy plane. Given transform methods and results. 2. To enhance the image so fuzzy. Principle is given and the results. 3. To enhance the results map so smoothing. Smoothing factor is selected and the results map. 4. Fuzzy images of edge detection, the fulfillment of steps, given the results map. Platform: |
Size: 47104 |
Author:廖鑫鹏 |
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Description: 通过理想高通滤波器实现对图像的锐化，图像锐化的目的是突出图像的边缘信息，加强其图像的轮廓特征，以便于人眼和机器的识别。-Through the realization of the ideal high-pass filter for image sharpening, image sharpening is designed to highlight the edge of the image information, to enhance the outline of the characteristics of their images in order to facilitate the human eye and machine identification. Platform: |
Size: 3072 |
Author:lushan |
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Description: 一种快速实现图像边缘检测并增强图像的的程序，matlab源码。已经测试通过。-A Fast Edge Detection and enhance the image of the program, matlab source. Have the test. Platform: |
Size: 1024 |
Author:李勤 |
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Description: 97 law to enhance the classic procedure
Ridge wavelet extraction
Modulus maximum for the wavelet edge detection
Small spectral analysis method mallat classic procedure-97 law to enhance the classic procedure Ridge wavelet extraction Modulus maximum for the wavelet edge detection Small spectral analysis method mallat classic procedure Platform: |
Size: 6144 |
Author:顾冬梅 |
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Description: 此程序实现了模糊增强实现图像的边缘检测，利用模糊方法结合边缘检测实现边缘点的提取。-Realize this procedure to enhance implementation of fuzzy image edge detection, the use of fuzzy edge detection methods achieve the extraction of edge points. Platform: |
Size: 1024 |
Author:李晓非 |
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Description: 为了提高数字图像中椭圆检测的效率和准确性,提出了一个基于最小二乘法的改进的随机椭圆检测算法.
该算法随机选取图像中的3 个边缘点,在以这3 个点为中心的窗口内,从边缘点中拟合出可能椭圆,并通过随机选
取的第4 个边缘点来确认可能椭圆. 利用直接最小二乘法椭圆拟合的特性,引入可能椭圆边缘点收集和椭圆重新
拟合的迭代过程来提取最终的椭圆参数. 通过对含有不同噪声的仿真图片和包括残缺椭圆的实际图片的实验表
明,新算法的改进是有效的. 与原算法相比,新算法降低了对参数的依赖性,提高了检测的速度、稳定性和准确性,
同时保留了原算法的抗噪声能力.-: An imp roved randomized ellip se detection algorit hm based on least square approach was proposed
to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2
lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three
windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge
whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of
ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced
to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images
containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he
improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces Platform: |
Size: 369664 |
Author:刘镖峰 |
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Description: 锐化处理技术来加强图像的目标边界和图像细节，对图像进行梯度算子、拉普拉斯算子、Sobel算子设计，使图像的某些特征（如边缘、轮廓等）得以进一步的增强及突出-Sharpen the image processing techniques to enhance the objectives of the border and image detail, image gradient operator, Laplacian, Sobel operator design, some features of the image (such as edge, contour, etc.) can be further enhanced and prominent Platform: |
Size: 2048 |
Author:顾艳华 |
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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: |
Size: 161792 |
Author:feelfree |
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Description: 介绍利用MatLab实现图像增强的3种常用方法：灰度直方图均衡化、灰度变换、平滑与
锐化滤波等，探讨利用MatLab提供的系列算子实现图像边缘检测的方法．以Amold置
乱变换为例，探讨MatLab在图像空间变换处理中的应用，以离散余弦变换为例探讨
MatLab在图像频域变换处理中的应用。-Describes the use of MatLab implementation of the three kinds of commonly used image enhancement methods: histogram equalization, gray transformation, filtering, smoothing and sharpening to explore the use of MatLab to provide a series of operators for image edge detection method. Amold scrambling to transform, for example, explore the MatLab in the image space transformation processing applications to explore the discrete cosine transform, for example MatLab frequency-domain transform in the image processing applications. Platform: |
Size: 210944 |
Author:hope |
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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
Platform: |
Size: 12288 |
Author:zhou |
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Description: curvelet工具箱可对图像进行曲波变换，提取图像边缘，对图像进行去噪，增强等处理。-curvelet toolbox for extracting the edge of image and enhance the noise of image. Platform: |
Size: 826368 |
Author:高天博 |
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Description: matlab开发环境，．编程实现二维DFT的变换，并与标准函数结果fft2进行比较，基本傅里叶、离散余弦变换，空域（完成两个程序）
增强噪声后再进行处理，利用标准函数，求图像阈值分割、边缘检测的基本使用（lena256.bmp，方法：graythresh、edge），求分水岭，利用标准函数dwt2、idwt2分解图像man_pic.jpg，基本 BP-BPbase1
-matlab development environment. Programming dimensional DFT transform, and with the standard functions compare results fft2 basic Fourier, discrete cosine transform, airspace (to complete the two programs) to enhance the noise and then processed using standard functions for image thresholding, edge Detection of basic use (lena256.bmp, method: graythresh, edge), seeking watershed, using a standard function dwt2, idwt2 decomposed image man_pic.jpg, basic BP-BPbase1 Platform: |
Size: 1909760 |
Author:杨恒明 |
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Description: 本次作业是在matlab环境中实现的，主要运用了图像处理的基础知识对一张车牌图像进行预处理。如图像转换、图像形态学处理以及图像的边缘检测等来增强图像的对比度。在此基础上利用形态学方法以及投影法相结合来定位图片中的车牌，并将其从图片中剪切出来。最后，将提取出来的车牌字符分割成单个字符并组成新的图像。-This work is implemented in matlab environment, the main use of the basics of image processing on a plate image preprocessing. The image conversion, image processing, and morphological image edge detection or the like to enhance the contrast of the image. Morphology and projection Combination plates to locate the picture, and cut out the picture on the basis of use. Finally, the extracted license plate character segmentation into individual character and form a new image. Platform: |
Size: 2048 |
Author:zy |
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Search - edge enhance matlab