Description: 数字图像处理，关于点特征提取一以及影像匹配的程序-digital image processing, feature extraction on the point of an image matching procedures Platform: |
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Author:余翔 |
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Description: 摘要：在对粮虫图像处理过程中，介绍了Matlab图像处理工具箱中的函数，给出了图像处理与分析的技术实现, 边缘检测及轮廓提取, 通过形态学方法进行图像特征抽取与分析，达到了比较好的效果.-Abstract : In the right grain pest image processing, introduced the Matlab toolbox image processing functions, given image processing and analysis technology, edge detection and contour extraction, through morphological methods for image analysis and feature extraction, reached a relatively good results. Platform: |
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Author:蓝婧 |
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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: 《Visual C++_MATLAB图像处理与识别实用案例精选》本书系统地介绍了图像处理与识别的基本原理、典型方法和实用技术。全书共分12章，第1章－第6章是图像处理与识别的基础内容，包括图像科学综述、MATLAB语言图像编程、图像增强、图像分割、图像特征提取和图像识别；第7章－第10章是图像处理与识别的工程实例，涵盖了医学图像处理、文字识别和自导引小车路径识别等应用实例，并结合理论算法，提供了大量MATLAB代码程序，以帮助读者掌握如何使用MATLAB语言快速进行算法的仿真、调试和估计等方法。第11章－第12章，是两个综合性较强的实例，分别足Visual C++实现的基于神经网络的文字识别系统和车牌定位系统。
本书附带的光盆给出了各个章节列举的实例的源代码，同时赠送了28个常用数字图像处理算法的Visual C++代码实现。光盘在下一次的上载中给出。
注 此为超星图书，请用超星阅读软件打开阅读。-"Visual C _MATLAB image processing and recognition of the practical case Showcase" the book systematically introduced the image processing and recognition of the basic tenets of the typical methods and practical skills. The book is divided into 12 chapters, Chapter 1-Chapter 6 of image processing and recognition of content, including images scientific overview MATLAB programming language images, image enhancement, image segmentation, image feature extraction and image recognition; Chapter 7-Chapter 10 of image processing and recognition of the engineering example, covering medical image processing, Character Recognition and self-guided trolley path recognition example, the combination of theory and algorithms, for a lot of MATLAB code procedures to help readers how to use MATLAB Platform: |
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Author:连接 |
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Description: 该源代码为一国外硕士所写，有关虹膜特征提取的部分很有借鉴意义，希望从事图象处理方面研究的各位不要错过．-the source code for an overseas master's written, the iris feature extraction part of a useful one, want to engage in image processing research you should not miss. Platform: |
Size: 2048 |
Author: |
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Description: 图形图象处理中的一个非常重要的特征的提取算法,zernike矩-Graphic image processing in a very important feature extraction algorithm, zernike Moment Platform: |
Size: 1024 |
Author:董华丽 |
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Description: 灰度共生矩阵是图像处理中特征提取的纹理特性的一个重要参量，该程序实现2-D灰度图像的共生矩阵的计算-Gray-level co-occurrence matrix is the image processing feature extraction of texture characteristics of an important parameter, the program realize 2-D gray-scale image of co-occurrence matrix calculation Platform: |
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Author:杨文浩 |
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Description: PCA（主成分分析法）和ICA（独立成分分析法）的MATLAB源程序，他们是目前图像处理比较经典的特征提取方法-PCA (Principal Component Analysis) and ICA (independent component analysis) of the MATLAB source code, they are comparing the current image processing feature extraction methods of classical Platform: |
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Author:李世杰 |
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Description: Gabor 滤波器工具箱，包括各种Gabor滤波器的函数，可用于图像滤波处理，特征提取，如人脸，掌纹，指纹识别等。-Gabor filter toolbox, including Gabor filter function, can be used for image filtering processing, feature extraction, such as human faces, palm prints, such as fingerprint recognition. Platform: |
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Author:陈浩 |
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Description: 这是一个人脸识别的程序，先对图像预处理，然后用PCA进行特征提取。-This is a face recognition process, first on the image pre-processing, and then use PCA for feature extraction. Platform: |
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Author:ll |
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Description: 轮廓特征提取，是图像处理中底层特征中的一个重要参数，是我硕士论文中的代码-Contour feature extraction, image processing are the underlying characteristics of an important parameter, is my master' s thesis in the code Platform: |
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Author:周鸽 |
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Description: 该软件最主要的功能就是要能识别出人脸，首先该系统需要对通过摄像头拍照而获取到的原始的人脸图片进行一系列处理才可进行下一步的工作，该处理过程也称图像预处理。预处理这个模块在整个人脸识别系统的开发过程中占有很重要的地位，只有预处理模块做的好，才可能很好的完成后面的人脸定位和特征提取这两大关键模块。-The main features of the software is to be able to identify the face, first of all, the system need to take pictures through the camera and access to the original face image can only be carried out a series dealing with the work of the next step, the process also known as image pretreatment. Pretreatment of the Face Recognition System module in the entire process of development plays an important role, and only do pre-processing module, and can be very good after the completion of the Human Face Localization and Feature Extraction of these two key modules. Platform: |
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Author:chiaks |
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Description: 图像的边缘是指图像中邻域灰度有显著变化
的像素的集合。它是图像的基本特征, 因此边缘检
测方法在图像处理中成为一个十分重要的课题。经
典的边缘提取方法是考察图像的每个像素在某个邻
域内灰度的变化, 利用边缘邻近一阶或二阶方向导
数变化规律, 用简单的方法检测边缘。但是, 因为边
缘和噪声都是高频信号, 因此许多经典边缘检测算
法很难在边缘和噪声中做出取舍。在众多的边缘检
测算子中, 算子因为具有优良的边缘检测能
力, 因此在图像处理中得到广泛应用。-The edge of the image refers to the neighborhood gray-scale images have seen a significant change
A collection of pixels. It is the basic feature of image, so the edge of the seizure
Measurement method in image processing has become a very important issue. By
Code extraction method is to investigate the edge of each image pixel in a neighborhood
Gray-scale changes in the region, using the edge of the neighboring first-order or second-order directional derivative
Changes of a few simple ways to detect the edge. However, because the edge
Edge and noise are high-frequency signals, so many of the classical edge detection operator
Law at the edge and noise it is difficult to make trade-offs. At the edge of a large number of seized
Son of measurement, because the operator has an excellent edge detection can
Force, so image processing is widely used. Platform: |
Size: 299008 |
Author:wangbin |
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Description: 针对高精度的畸变图像,提出了一种基于最小二乘影像匹配的高精度畸变图像矫正算
法. 算法首先利用特征提取与边缘检测对图像进行预处理,并且将特征匹配与最小二乘算法相
结合,从而实现了图像与模板之间精确的子像素定位与匹配. 实验表明,该算法较好的解决了目前高精度畸变图像矫正算法中普遍存在的定位和匹配精度较差的缺陷,图像矫正效果良好,是一种有效的畸变图像矫正算法.-Image distortion for high-precision, a least-squares image matching based on high-precision image distortion correction algorithm. First of all, the use of feature extraction algorithm for edge detection and image pre-processing, and will feature matching with a combination of least-squares algorithm in order to achieve the image and the template between the sub-pixel accurate positioning and matching. The experimental results show that the algorithm has better accuracy of the solution to the current distortion prevalent image correction algorithm to match the accuracy of the positioning and less defects, image correction effect well, is an effective algorithm to correct image distortion. Platform: |
Size: 109568 |
Author:chenruibao |
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Description: 一本有关特征提取和图像处理的，绝对经典！-One of the feature extraction and image processing, an absolute classic! Platform: |
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Author:zuo |
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Description: Gabor wavelet transform applied to feature extraction of ophthalmic images.
We investigate a new approach for measuring ocular
refractive errors (astigmatism, near-sightedness and shortsightedness)
from images of the human eye [1]. This
approach uses Support Vector Machines (SVMs) to
analyse data features extracted from images of the eye
acquired with a technique known as Hartmann-Shack [2]
and output measures for the eye´ s refractive errors. Prior to
analysis and feature extraction an image processing stage
takes place to identify and crop the region of interest
considering domain spatial and geometrical information.
Then a set of relevant image features are extracted using
wavelet and Garbor Transforms. These features are finally
fed into a SVM module for analysis that provides a
diagnosis of refractive errors present in the ocular globe
under investigation. Platform: |
Size: 7168 |
Author:Real |
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Description: 一篇关于图像纹理提取的经典文章，涉及图像处理领域的方向动态！-An article about the classic image texture extraction, involves the direction in the field of dynamic image processing. Platform: |
Size: 670720 |
Author:余道喜 |
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Search - feature extraction of an image processing