Description: 图象分割算法，这是 active contours分割中外力的选择，通常算法为基于梯度，但对于梯度不清楚的图像，可以采用此方法-image segmentation algorithm, which is active segmentation external contours of choice, usually based on the gradient algorithm, but the gradient was not clear images, we can use this method Platform: |
Size: 1024 |
Author:Wang Qi |
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Description: 基于水平集的彩色图像分割matlab实现算法（包括源码、测试图像）-Based on the level set for color image segmentation algorithm matlab (including source code, test images) Platform: |
Size: 99328 |
Author:mei hongyan |
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Description: 包含了主要的图像质量评价的matlab源程序。图像熵，图像的方差和，以及基于边缘检测算子的质量评价函数。-Contains the main image quality evaluation of the matlab source code. Image entropy, variance and images, as well as edge detection operator based on the quality of the evaluation function. Platform: |
Size: 3072 |
Author:巫军 |
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Description: It is a matlab code for detecting brain tumor in MR images using CIELAB color space model segmentation. Platform: |
Size: 4096 |
Author:Somasekhar |
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Description: This code demomstrates an improved algorithm based on the local binary fitting (LBF) model
in Chunming Li et al s paper:
"Minimization of Region-Scalable Fitting Energy for Image Segmentation",
IEEE Trans. Image Processing, vol. 17 (10), pp.1940-1949, 2008.
Usage: These codes can be used for Matlab 7.0.4 or higher versions in Windows.
Run the Demos in the M-files for several test images. Once an image comes out, click
the mouse to generate a polygon as the initial contour: left click to get
a number of points, then right click to get the end point.
The number of iterations may need to be increased if the initial contour is too far
away from the desired object boundary. -This code demomstrates an improved algorithm based on the local binary fitting (LBF) model
in Chunming Li et al s paper:
"Minimization of Region-Scalable Fitting Energy for Image Segmentation",
IEEE Trans. Image Processing, vol. 17 (10), pp.1940-1949, 2008.
Usage: These codes can be used for Matlab 7.0.4 or higher versions in Windows.
Run the Demos in the M-files for several test images. Once an image comes out, click
the mouse to generate a polygon as the initial contour: left click to get
a number of points, then right click to get the end point.
The number of iterations may need to be increased if the initial contour is too far
away from the desired object boundary. Platform: |
Size: 269312 |
Author:Tina |
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Description: matlab code is designed for template matching and further extraction of water bodies from satellite images based on gradient density. code also consists of color segmentation and automatic useful cluster selections. Platform: |
Size: 303104 |
Author:Ajitpal Brar |
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Description: 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，分别是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。 本书附带的光盘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。 本书讲解深入浅出，实例程序丰富，注重理论与实践相结合。本书可作为计算机应用、自动化、图像处理与模式识别、机电一体化专业的高年级本科生或研究生的参考书，也可供从事图像处理与识别的研究人员和工程技术人员阅读参考。-This book introduces the basic principles of image processing and recognition of the typical methods and practical skills . The book is divided into 12 chapters , Chapter 1- Chapter 6 is the basis of the content of image processing and recognition , including images scientific overview , MATLAB programming language images, image enhancement, image segmentation, image feature extraction and image recognition Chapter 7- Section Chapter 10 is a project example image processing and recognition , covering the 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 learn how to use MATLAB language fast simulation , debugging and estimation methods algorithm. Chapter 11- Chapter 12 , are two examples of highly integrated , namely Visual C++ implementation based on neural network character recognition system and a license plate positioning system. The book Platform: |
Size: 6598656 |
Author:朱朴宁 |
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Description: 《图像处理的偏微分方程方法》随书光盘完整版
本光碟中包含五个文件夹。
（1）视频剪辑：可供教学演示，其中， two_cells 是采用改进的变分水平集方法，实现GAC模型图像分割的演化过程； denoissing 是利用P_M方程，对图像平滑去噪的演化过程 curve_linear_heat_flow 是利用FT实现的闭合曲线的线性热流演化过程。
（2）二值图像：其中的图像可供形态学图像处理实验用，也可通过提取对象的边界，供曲线演化实验使用。
（3）灰度图象和彩色图像：其中的图像，可以作为图像分割，平滑滤波，反差增强，彩色增强以及图像放大等实验的素材。
（4) MATLAB程序：其中包含10余个MATLAB程序或（函数）的源代码。程序中所作的注释，与书中关于对应算法的描述是一致的。
本光碟中的所有内容，仅供教学和研究参考。-" Image Processing Based on PDE" CD with the book contains the full version of the disc five folders. (1) Video clip: for teaching demonstration, which, " two_cells" is improved variational level set methods to achieve the evolution of GAC model image segmentation " denoissing" is the use of P_M equation, the evolution of image smoothing denoising process " curve_linear_heat_flow" is the use of a closed curve FT achieve a linear heat evolution. (2) binary image: one of the images for morphological image processing experiments, it can also be obtained by extracting the object boundary curve evolution for experimental use. (3) gray-scale images and color images: images which can be used as image segmentation, filtering, contrast enhancement, color enhancement and image amplification test material. (4) MATLAB Program: which includes more than 10 or MATLAB program (function) of the source code. Comments made in the program, and a description of the boo Platform: |
Size: 7414784 |
Author:marshal |
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Description: Texture-Aware Fast Global Level Set Evolution-Due to its intrinsic advantages such as the ability to automatically handle complex shapes and topological changes, the level set method has been widely used in image segmentation. Nevertheless, in addition to be computational expensive, it has the limitation to very often lead to a local minimum because of the energy functional to be minimized is non-convex. In this work, we use the geometric active contours and the image thresholding frameworks to design a novel method for global image segmentation. The local lattice Boltzmann method is used to solve the level set equation. The proposed algorithm is therefore effective and highly parallelizable. Experimental results on satellite, natural and medical images demonstrate the effectiveness and the efficiency of the proposed method when implemented using an NVIDIA graphics processing units
The present Matlab code is the implementation of our work.
For using:
1- Open the main code (TAFGLSE.m),
2- Put the adress of the image you w Platform: |
Size: 529408 |
Author:许雄文 |
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Description: 本课题为基于连通域分割和模板匹配的二代居民身份证号码识别系统，带有一个GUI人机交互界面。可以识别数十张身份证图片。
首先从身份证图像上获取0～9和X共十一个号码字符的样本图像作为后续识别的字符库样本，其次将待测身份证图像进行去噪、灰度化、二值化、水平投影切割，垂直投影并切割，将待测身份证号码分割出来，然后进行待测号码图片与字符库样本对比计算、识别判断、最终确定待测身份证号号码。本设计关于身份证号码的识别是基于Matlab软件的基础上进行的。(This project is a second generation ID card number recognition system based on connected domain segmentation and template matching, with a GUI human-computer interface. It can identify dozens of ID card pictures.
Firstly, the sample images of 11 number characters (0-9 and x) are obtained from the ID card image as the character library samples for subsequent recognition. Secondly, the ID card image to be tested is denoised, grayed, binary, horizontal projection cut, vertical projection and cut, the ID card number code to be tested is segmented, and then the number image to be tested is compared with the sample of the character library for calculation and recognition judgment Finally determine the ID card number to be tested. The identification of ID card number in this design is based on MATLAB software.) Platform: |
Size: 566272 |
Author:www.wobishe.com |
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