Description: 这是我本科的毕业设计做的关于医学图像的基于形状的图像检索。预处理用小波去噪 ，特征选用不变矩。-This is my undergraduate graduation design done on the medical images based on the shape of the image retrieval. Pretreatment with wavelet denoising, feature selection invariant moment. Platform: |
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Author:chenxi |
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Description: 基于小波的图像多尺度方向特征提取，小波可使用 db4 -Based on wavelet multi-scale orientation of the image feature extraction, wavelet can be used DB4 Platform: |
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Author:Flora |
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Description: 针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即:
使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗
配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基
于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合.
-For visible light and infrared images of the characteristics and difficulties, a visual and infrared image registration and integration of key technologies, namely: the use of new one-dimensional based on the largest variance between-class connectivity and the largest measuring method of image segmentation source image segmentation to better implementation of coarse image registration the use of a new type of feature point extraction method, feature points of the match and the elimination of false matches to better the implementation of image fine registration the use of new tree-based wavelet calculated to measure the achievement of the activity tree wavelet image fusion the use of self-generating neural network to achieve image fusion Xu mode. Platform: |
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Author:媛媛 |
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Description: 一种图像检索中纹理特征提取的方法。本文介绍了基于Gabor 滤波器和Gabor 小波变换提取纹理特征的分析方法, 以及对Gabor 小波进行了高斯归一化以提高对图像检索的速度和准确度。-An image retrieval texture feature extraction methods. This article based on Gabor filters and Gabor wavelet transform to extract texture feature analysis method, as well as Gabor Wavelet Gaussian normalized to enhance the image retrieval speed and accuracy. Platform: |
Size: 51200 |
Author:爱学习 |
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Description: 基于点的matlab图像配准.提出一种基于小波系数的特征索引算法，实现了图像特征点对的快速搜索和两幅图像之间的匹配-Based on the point of matlab Image Registration. Presents a feature based on wavelet coefficients indexing algorithm to realize the image feature points on the fast search and matching between two images Platform: |
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Author:杨博明 |
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Description: 基于小波变换的多分辨匹配算法:
首先利用小波的多分辩率特性将匹配图像和模板图像分解到乙层上，并且只保留LL低频部分，然后利用归一化相关法作为相似性度量，进行由粗到细的相关匹配过程，每次利用下一层的匹配结果在上层小范围内搜索。这样做极大地减少了搜索空间，而且减少了每次匹配计算相似度的数据量。
-Wavelet multiresolution matching algorithms: a wavelet multi-resolution feature will match the image and the template image is decomposed to the B layer, and retain only low-frequency part of the LL, and then use normalized correlation as a similarity measure, carried out by the rough to the relevant matching process, each time using the matching results of the next layer in the upper small scale search. This greatly reduces the search space, but also reduced the calculation of similarity for each match the amount of data. Platform: |
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Author:韩小芳 |
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Description: 小波变换是一种信号的时间—尺度分析方法，它具有多分辨率分析的
特点，而且在时频两域都具有表征信号局部特征的能力。由于其在信号处
理领域表现出的优异性能，目前在生物医学领域，广泛应用于信号检测、
特征提取、图像处理、信号压缩等方面。
-Wavelet transform is a signal of the time- scale analysis method, it has the characteristics of multi-resolution analysis, but also in time and frequency domain have the ability to characterize local signal characteristics. Signal processing because of its excellent performance shown by the current in the biomedical field, is widely used in signal detection, feature extraction, image processing, signal compression and so on. Platform: |
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Author:Lily |
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Description: 利用Gabor滤波器提取图像纹理特征，用于图像分类模式识别-Extract the texture feature using Gabor filter/wavelet. You should first generate cell array G, which is a set of kernels in freq domain, then pass G and the image to the function GABORCONV. Platform: |
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Author:Ethan |
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Description: 提出了一种基于小波变换可抗击几何攻击算法。在水印嵌人
部分# 首先对宿主图像进行小波分解
、
嵌人水印, 再通过余弦变换求得该水印图像的一个特征向量, 利用该特征向量和水印
信息通过12 31 函数生成一个二值逻辑系列, 将该序列作为密钥/ 水印提取部分为# 对待测的图像进行小波变换, 再通过余
弦变换求得待测图像的一个特征向量, 利用该特征向量和密钥通过1 2 4 1 函数提取出水印。-Proposed based on wavelet transform algorithm can be against geometric attacks.# Watermark embedded in the first part of the host image wavelet decomposition, embedded watermark, and then through the cosine transform of the watermarked image obtained by a feature vector, using the feature vector and the watermark information through 1231 to generate a binary logic function series, the sequence as the key/watermark extraction part is# treated transform measured image, and then obtained through the cosine transform the image of a feature vector under test, using the feature vector and the key function by 1241 to extract the watermark . Platform: |
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Author:切尔西 |
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Description:
《数字图像处理(MATLAB版)》是把图像处理基础理论论述与软件实践方法相结合的一本书，它集成了冈萨雷斯和伍兹所著的《数字图像处理》一书中的重要内容和MathWorks公司的图像处理工具箱。本书的特色在于它重点强调了怎样通过开发新代码来增强这些软件工具。本书在介绍MATLAB编程基础知识之后，讲述了图像处理的主要内容，具体包括亮度变换、线性和非线性空间滤波、频率域滤波、图像复原与配准、彩色图像处理、小波、图像数据压缩、形态学图像处理、图像分割、区域和边界表示与描述以及对象识别等。
-" Digital image processing ( MATLAB version) " is the basis of image processing theory and practice method of combining a book, it is the integration of Gonzales and Woods s " digital image processing " a Book of important content and MathWorks image processing tool box. A unique feature of this book is its emphasis on how to through the development of new code to enhance these software tools. This book introduces the MATLAB programming basic knowledge, tells the story of the main elements of image processing, including brightness transform, linear and nonlinear spatial filtering, frequency domain filtering, image restoration and image registration, image processing, wavelet, image data compression, morphological image processing, image segmentation, region and boundary representation and description and object recognition and so on. Platform: |
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Author:liulou |
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Description: 将理论知识、科学研究和工程实践有机结合起来，内容涉及数字图像处理和识别技术的方方面面，包括图像的点运算、几何变换、空域和频域滤波、小波变换、图像复原、形态学处理、图像分割以及图像特征提取的相关内容；同时对于机器视觉进行了前导性的探究，重点介绍了两种目前在工程技术领域非常流行的分类技术——人工神经网络（ANN）和支持向量机（SVM），并在人脸识别这样的热点问题中结束《精通Matlab数字图像处理与识别》。(Combining theoretical knowledge, scientific research and engineering practice, the content involves all aspects of digital image processing and recognition technology, including point operation, geometric transformation, spatial and frequency domain filtering, wavelet transform, image restoration, morphological processing, image segmentation and image feature extraction, and the exploration of the preamble of machine vision. Two kinds of classification techniques, artificial neural network (ANN) and support vector machine (SVM), which are popular in the field of engineering and technology, are introduced in this paper, and the "master Matlab digital image processing and recognition" is finished in the hot issues such as face recognition.) Platform: |
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Author:Xingli |
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Search - wavelet IMAGE feature matlab