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: 这是一个关于数字图像处理的源代码，目前只支持bmp格式的灰度图像，但功能强大，内容丰富，几乎包含了数字图像处理的所有基本内容。如图像的点运算，几何变换，正交变换，图像增强，形态学变换，边缘与轮廓检测，图像分析，图像复原，图像编码等等。-This is a digital image processing of the source code, only supports bmp format gray image, but powerful, rich in content, consists of almost digital image processing of all basic elements. If the image point operations, geometry transformation, orthogonal transformation, image enhancement, morphological transformation, and the edge contour detection, image analysis, image restoration, image coding and so on. Platform: |
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Author:严江 |
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Description: 学习图像处理的好例子，包括常见的图像处理代码：点运算（图像反色、线性变换，灰度均衡等），几何变换（缩放、平移、镜像等等）
正交变换（付立叶、离散余弦变换等）
图像增强（图像平滑、中值滤波等）
形态学变换、边缘与轮廓、图像分析、图像复原、图像编码、角点检测等
-Learning a good example of image processing, including the common image processing code: point operations (the anti-color image, linear transformation, gray balance, etc.), geometric transformations (zoom, pan, mirror, etc.) orthogonal transformation (Fourier , such as discrete cosine transform) image enhancement (image smoothing, median filtering, etc.) Morphological transformation, edge and contour, image analysis, image restoration, image coding, such as corner detection Platform: |
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Author:chenjianping |
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Description: 集成了大量图像处理算法，几何变换，正交变换，图像增强，形态学变换，边缘与轮廓，图像分析，复原，编码等-Integration of a large number of image processing algorithms, geometric transformations, orthogonal transform, image enhancement, morphological transformation, edge and contour, image analysis, restoration, coding, etc. Platform: |
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Author:施志萍 |
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Description: 基于Sobel算子.该方法将图像划分成预先设定大小的网格，在两个尺度上对图像进行分析，完成图像的边缘检测。首先用Sobel算子求得图像边缘，依据网格内含有边缘像素的数目以及连通情况将不同的网格分别处理。 然后以网格为数据单元，在较大尺度上运用Sobel算子得到图像边缘。最后通过设定数据的优先级和使用形态学的方法合并两次计算边缘的结果。-Based on the Sobel operator. This method is an image divided into pre-set the size of grid, in the two scales of image analysis, image edge detection. First of all, seek to use Sobel edge operator, based on the edge of the grid contains the number of pixels as well as the connectivity will be a different deal with the grid, respectively. And then to the grid for the data unit, in the larger scale use Sobel edge operator. Finally the data by setting the priority and use of morphological methods of calculation of the merger of two marginal results. Platform: |
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Author:jdshgufi |
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Description: 数学形态学(Mathematical Morphology)诞生于1964年，是由法国巴黎矿业学院博士生赛拉(J. Serra)和导师马瑟荣，在从事铁矿核的定量岩石学分析及预测其开采价值的研究中提出“击中/击不中变换”， 并在理论层面上第一次引入了形态学的表达式，建立了颗粒分析方法。他们的工作奠定了这门学科的理论基础， 如击中/击不中变换、开闭运算、布尔模型及纹理分析器的原型等。数学形态学的基本思想是用具有一定形态的结构元素去量度和提取图像中的对应形状以达到对图像分析和识别的目的。-Mathematical morphology (Mathematical Morphology) was born in 1964, is a doctoral student School of Mines in Paris, France La Tour (J. Serra) and Mather wing instructors engaged in the iron core of the quantitative analysis of rock and forecast the value of its mining research in the " hit/hit transform" and the first time at the theoretical level the introduction of the expression of morphological established methods of particle analysis. Their work laid the theoretical foundation subjects, such as hit/hit transform, opening and closing operations, Boolean model and the prototype, such as texture analyzer. The basic idea of mathematical morphology is the structure of a certain form elements to measure and extract the corresponding image in order to achieve the shape of the image analysis and identification purposes. Platform: |
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Author:zouwenjian |
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Description: 数学形态学的数学基础和所用语言是集合论，因此它具有完备的数学基础，这为形态学用于图像分析和处理、形态滤波器的特性分析和系统设计奠定了坚实的基础。数学形态学的应用可以简化图像数据，保持它们基本的形状特性，并除去不相干的结构。数学形态学的算法具有天然的并行实现的结构， 实现了形态学分析和处理算法的并行，大大提高了图像分析和处理的速度。-The mathematical basis of mathematical morphology and the language is set theory, so it has a complete mathematical basis for the morphology for image analysis and processing, morphological analysis of the characteristics of filter and system design has laid a solid foundation. Application of mathematical morphology can be simplified image data, and maintain their basic shape characteristics, and to remove extraneous structures. Morphology of the parallel algorithm has a natural realization of the structure, the realization of a morphological analysis and parallel processing algorithms, which greatly raised the image analysis and processing speed. Platform: |
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Author:zouwenjian |
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Description: 来源于《Visual C++ 数字图像处理》 谢凤英 赵丹培 的书。包含图像的基础知识，图像的灰度变换、图像的几何变换、图像的变换域处理、图像增强处理、图像分割、图像复原、图像的形态学处理、运动图像分析用其应用、图像配准及典型案例、算法实现。
有这个可以不看其它任何编程。本人认为是最好用的，给大家推荐下。在此对作者赞一个，谢谢。
-Derived from the "Visual C++ digital image processing," Xie Fengying and Zhao Dan Pei book. Includes the basics of the image, the image of the gray-scale transformation, image geometric transform, image transform domain processing, image enhancement processing, image segmentation, image restoration, image morphological processing, moving image analysis with its applications, image registration and typical cases, algorithm implementation.
Have this may not look at any other programming. I think it is best to use, and give you a recommendation. thank you the authors.
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Author:郭德全 |
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Description: Visual C++ 数字图像处理,源代码
电子工业出版社
第一章 Visual C++ 数字图像编程基础
第二章 图像的灰度变换
第三章 图像的几何变换
第四章 图像的变换或处理
第五章 图像增强处理
第六章 图像分割
第七章 图像复原
第八章 图像的形态学处理
第九章 运动图像分析及其应用
第十章 图像配准
-Visual C++ digital image processing, source code, Electronics Industry Press, chapter Visual C++ Programming Fundamentals of Digital Image Chapter II Chapter III of the image gray-scale transformation of the geometric transformation image image Chapter IV Chapter V of the transformation or processing image enhancement processing the first Chapter VI Chapter VII of the image restoration image segmentation image morphological processing of Chapter VIII Chapter IX motion image analysis and its applications Chapter Image Registration Platform: |
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Author:wsadfg |
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Description: 本文在总结和分析了二值形态学膨胀算法的原理及其应用的基础上,通过对传统结构元素膨胀效果的比较,重点针对结构元素的选择作了算法上的改进,用水平和垂直结构元素组合方法,满足大部分图像膨胀处理的要求,保护了图像边缘信息,简化了程序的编写,改善了膨胀算法的性能,具有一定普遍性和代表性。-In this paper, summary and analysis of binary morphological dilation algorithm based on the theory and application, through the expansion of traditional structure element results compared to the choice of focusing on structure element algorithm for the improvement made with combination of horizontal and vertical structure elements methods to meet the requirements of the majority of image expansion processing to protect the image edge information, simplifying the process of preparation, the expansion algorithm to improve the performance of certain universal and representative. Platform: |
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Author:wy |
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Description: RNA 和 DNA序列模拟 基因建模 数值模拟 采用matlab 编写 能计算几千个 基因点的特性和行为-In one type of gene expression analysis, fluorescently tagged messenger RNA from different cells are hybridized to a microscopic array of thousands of complimentary DNA spots that correspond to different genes. Illuminated spots emit different color light, indicating which genes are expressed (e.g., green=control, red=sample, yellow=both).
In this case study, MATLAB, the Image Processing and Signal Processing toolboxes were used to determine the green intensities from a small portion of a microarray image containing 4,800 spots. A 10x10 pattern of spots was detected by averaging rows and columns to produce horizontal and vertical profiles. Periodicity was determined automatically by autocorrelation and used to form an optimal length filter for morphological background removal. A rectangular grid of bounding boxes was defined. Each spot was individually addressed and segmented by thresholding to form a mask. The mask was used to isolate each spot from surrounding background. Individu Platform: |
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Author:Tu Shu |
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Description: ：为解决现有视频监控系统中目标检测算法无法应付复杂的室外环境且计算量和存储量较大等问题，将像素从RGB 空间转换到YUV
空间建立基于码本的背景模型，并单独对每个码字中的亮度分量进行高斯建模，提取运动目标的轮廓后，用连通区域算法对图像进行形态
学处理。典型测试序列和ROC 数据的对比实验结果证明该算法是高效和实用的，且易于在DSP 或FPGA 等嵌入式系统上实时实现。-】In order to solve the problems that the existing motion detection algorithm in surveillance system can not work well in complex outdoor
scene, and needs too much computation and memory, this paper proposes a moving objects detection algorithm based on improved codebook model.
Pixels are converted from RGB space to YUV space to build the Codebook Model(CBM), and then the luminance component of each codeword is
modeled by Gaussian model. The image is morphological processed by connected components algorithm. A test with the typical video sequences and
the analysis of ROC data prove that the algorithm is effective and practical, and it can easily be implemented in embedded system such as DSP and
FPGA. Platform: |
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Author:陈思宇 |
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Description: 该实验实现了对数字图像的多种运算以及复杂变换。包括点运算、几何变换、正交变换、图像增强、形态学变换、边缘与轮廓、图像分析等多种图像处理方法。-The experiment of digital image realized the variety of operations and complex transformation. Including point operation, geometry transform, orthogonal transformation, image enhancement, morphological transform, edge and outline, image analysis and so on many kinds of image processing method.
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Author:xiaoD |
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Description: 基于几何形态学分析的图像分解工具箱，可以用来研究稀疏表示和图像压缩-Morphological analysis of images based on geometric decomposition toolbox can be used to study the sparse representation and image compression Platform: |
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Author:PeterYang |
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Search - morphological analysis of image