Description: 应用于车牌识别中图像增强部分的对比度增强部分！（试了，出的图像效果对比效果比较明显）-License Plate Recognition used in image enhancement part of the contrast enhancement part! (Tried out the effect of the image contrast more obvious) Platform: |
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Author:所玛 |
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Description: 使 用 说 明
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。-This cd-rom contains five folder.
(1) video clip: for teaching demonstration, among them, "two_cells" is modified variational level set method, realize the GAC model of image segmentation evolution process "Denoissing" is to use P_M equation, the noise of the image smooth evolution process "Curve_linear_heat_flow" is the use of the realization of the FT closed curve of the evolution process of the linear heat flux.
(2) binary images: one of the image for morphology image processing experiments with, but through the extraction of the object boundaries, the curve evolution for use.
(3) gray image and color images: one of the image, image segmentation, can be used as a smooth filtering, contrast enhancement, color and enhance image magnification of the material.
(4) MATLAB: including more than 10 MATLAB program or (function) of source code. The comments in the program, and the book about the description of the corresponding algorithm is consistent.
The entire content of the disc, o Platform: |
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Author:何最红 |
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Description: IMAGE_CONTRAST is a MATLAB function which carries out a simple contrast enhancement operation an image.
Note that MATLAB s image processing toolbox includes a functions such as nlfilter which can do a more sophisticated treatment of images. But the purpose of this example is to demonstrate the process of image enhancement in a way that is clear enough to understand quickly.
-IMAGE_CONTRAST is a MATLAB function which carries out a simple contrast enhancement operation on an image.
Note that MATLAB s image processing toolbox includes a functions such as nlfilter which can do a more sophisticated treatment of images. But the purpose of this example is to demonstrate the process of image enhancement in a way that is clear enough to understand quickly.
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Author:tjcobalt |
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Description: 基于matlab将某个灰度值范围内的图像表现的更加突出，形成更好的对比。-Matlab will be a gray value within the image is more prominent, forming a better contrast. Platform: |
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Author:于明明 |
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Description: 本文主要讨论获得图片后如何提取其边界信息，首先利用图像灰度均匀化解决了对比度不清晰的问题，然后利用高斯滤波法对图片进行滤波去噪，进而利用Canny算法实现边缘检测提取边界，该方法与Matlab自带的求边界方法有明显的提高，为利用Matlab程序求图像分形维数提供了更精确的前提。-This article focuses on how to get the image to extract the boundary information, the first to use to the gray uniform solve the contrast is not clear, and then use the Gaussian filter image filtering noise, and then use the Canny edge detection algorithm to extract the boundary of the and Matlab comes boundary method has increased significantly, and provide a more accurate premise for the use of Matlab program for image fractal dimension. Platform: |
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Author:陈泽奇 |
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Description: 主要讨论获得图片后如何提取其边界信息,首先利用图像灰度均匀化解决了对比度不清晰的问题,然后利用高斯滤波法对图片进行滤波去噪,进而利用Canny算法实现边缘检测提取边界,该方法与Matlab自带的求边界方法有明显的提高,为利用Matlab程序求图像分形维数提供了更精确的前提. 更多还原
-Mainly discuss how to get the picture after extracting its boundary information, the first use of the image contrast of the gray uniform solution to the problem is not clear, then use a Gaussian filtering method for image filtering noise, and then use Canny edge detection algorithm to extract the boundary, the method find boundary method comes with Matlab significantly improved procedures for the use of Matlab for image fractal dimension provides a more accurate premise. more reduction Platform: |
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Author:彭成新 |
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Description: 主要讨论获得图片后如何提取其边界信息,首先利用图像灰度均匀化解决了对比度不清晰的问题,然后利用高斯滤波法对图片进行滤波去噪,进而利用Canny算法实现边缘检测提取边界,该方法与Matlab自带的求边界方法有明显的提高,为利用Matlab程序求图像分形维数提供了更精确的前提.-Mainly discuss how to get the picture after extracting its boundary information, the first use of the image contrast of the gray uniform solution to the problem is not clear, then use a Gaussian filtering method for image filtering noise, and then use Canny edge detection algorithm to extract the boundary, the method find boundary method comes with Matlab significantly improved procedures for the use of Matlab for image fractal dimension provides a more accurate premise. Platform: |
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Author:李雷 |
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Description: MATLAB图像处理里，直方图的分析用的比较多。根据不同需求，这里有直方图的四种画法和直方图均衡化的两种方案，对比明显，适合初学者。-MATLAB image processing, histogram analysis used more. According to different requirements, two schemes, four methods of histogram equalization histogram and here are the obvious contrast, suitable for beginners. Platform: |
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Author:Mr.Lonely |
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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: |
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Author:marshal |
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Description: 计算机视觉中最重要的研究之一就是运动目标检测，其不但在模式识别方面具有相关的研究，而且在图像理解领域也有非凡的意义。运动目标检测是通过通过图像序列帧图像来提取运动目标，通过运用相关的算法一幅图片被划分为前景点和背景点。运动目标检测算法是后续的运动目标分类、运动目标跟踪和分析提供了基础。本论文讲述了几种常用的视频运动目标检测算法，并就背景差分法进行了重点研究，通过两种方法来对比差分法的特点。其中背景差分法算法的主要流程为：视频获取、视频转化为图片序列、图片灰度化处理、去除噪声、差分图片、对图片进行后续处理。此次课题的完成采用的是比较常见的数学软件matlab，其具有强大的工具箱。对处理图像这块具有很广泛的支持。-Computer vision and video image processing is one of important research in the field of video moving object detection, whether in the domains of pattern recognition and image understanding has special significance. Moving target detection is to extract video moving object in successive frames, the image is divided into foreground and background. Moving target detection algorithm for subsequent movement target classification, target tracking and analysis provides the basis. This paper tells the story of several common video moving object detection algorithm, and to the study on the background difference method, through the two methods to contrast the characteristics of the finite difference method. The background difference method algorithm is the main process is: the video capture, video into image sequence and image grayscale processing, remove noise, difference image, for subsequent processing images. The completion of this subject is the more common mathematical software matlab, whi Platform: |
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Author:wan |
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Search - more image contrast matlab