Description: 用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象-with Canny operator to detect the edges in the image P0404 : image thresholding segmentation P0405 : water line threshold method image segmentation P0406 : matrix Quadtree P0407 : images into text and non-text of the two categories P0408 : morphological gradient detection Binary Image Edge P0409 : morphology example -- Images from the PCB to delete all current lines, retaining only chip targets Platform: |
Size: 8567 |
Author:肖雷 |
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Description: 1. 视频数据读取，读取相邻两帧中的人眼最敏感的亮度数据。 2. 用后一帧的亮度矩阵减去前一帧亮度矩阵，计算出两帧的帧差。 3. 迭代计算出帧差中的噪声的均值和标准差。 4. 根据均值和标准差滤除噪声，得到变化区域。 5. 用数学形态学运算得到对象的最终模板。-1. Video data is read, read two adjacent eyes of the brightness of the most sensitive data. 2. After a brightness of the matrix before a less brightness matrix, calculated two frames worse. 3. Iterative Frame calculated the noise mean and the standard deviation. 4. According to the mean and standard deviation of filtering noise, changes to be regional. 5. Operators using mathematical morphology to be the ultimate target template. Platform: |
Size: 2539 |
Author:王斌 |
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Description: 形态学在遥感图像分类中的应用，对形态学感兴趣的朋友可以-morphological classification of remote sensing images in the application of the morphology of interest friends can see! ! Platform: |
Size: 30720 |
Author:山药蛋 |
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Description: 用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象-with Canny operator to detect the edges in the image P0404 : image thresholding segmentation P0405 : water line threshold method image segmentation P0406 : matrix Quadtree P0407 : images into text and non-text of the two categories P0408 : morphological gradient detection Binary Image Edge P0409 : morphology example-- Images from the PCB to delete all current lines, retaining only chip targets Platform: |
Size: 8192 |
Author:肖雷 |
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Description: 1. 视频数据读取，读取相邻两帧中的人眼最敏感的亮度数据。 2. 用后一帧的亮度矩阵减去前一帧亮度矩阵，计算出两帧的帧差。 3. 迭代计算出帧差中的噪声的均值和标准差。 4. 根据均值和标准差滤除噪声，得到变化区域。 5. 用数学形态学运算得到对象的最终模板。-1. Video data is read, read two adjacent eyes of the brightness of the most sensitive data. 2. After a brightness of the matrix before a less brightness matrix, calculated two frames worse. 3. Iterative Frame calculated the noise mean and the standard deviation. 4. According to the mean and standard deviation of filtering noise, changes to be regional. 5. Operators using mathematical morphology to be the ultimate target template. Platform: |
Size: 2048 |
Author:王斌 |
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Description: 程序代码说明 P0401：用Prewitt算子检测图像的边缘 P0402：用不同σ值的LoG算子检测图像的边缘 P0403：用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象-code P0401 Note : Prewitt operator to detect the edges in the image P0402 : different values of Getting operator to detect the edges in the image P0403 : Canny operator to detect the edges in the image P0404 : image thresholding segmentation P0405 : water line threshold method image segmentation P0406 : matrix Quadtree P0407 : images into text and non-text of the two categories P0408 : morphological gradient detection Binary Image Edge P0409 : morphology example-- Images from the PCB to remove all current lines, retaining only chip targets Platform: |
Size: 46080 |
Author:tian |
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Description: 程序代码说明
P0401：用Prewitt算子检测图像的边缘
P0402：用不同σ值的LoG算子检测图像的边缘
P0403：用Canny算子检测图像的边缘
P0404：图像的阈值分割
P0405：用水线阈值法分割图像
P0406：对矩阵进行四叉树分解
P0407：将图像分为文字和非文字的两个类别
P0408：形态学梯度检测二值图像的边缘
P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象- Procedure code explanation
P0401: Examines the picture with the Prewitt operator the edge
P0402: Examines the picture with the different sigma value LoG
operator the edge
P0403: Examines the picture with the Canny operator the edge
P0404: Picture threshold value division
P0405: Divides the picture with the water line threshold value
law
P0406: Carries on to the matrix four forks the tree
decomposition
P0407: Divides into the writing and the non- writing two
categories the picture
P0408: The morphology gradient examines two values pictures the
edge
P0409: The morphology example 鈻♀枴deletes all electricity
streamline from the PCB picture, only retains the chip object Platform: |
Size: 40960 |
Author:xueke |
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Description: 程序代码说明
P0401：用Prewitt算子检测图像的边缘
P0402：用不同σ值的LoG算子检测图像的边缘
P0403：用Canny算子检测图像的边缘
P0404：图像的阈值分割
P0405：用水线阈值法分割图像
P0406：对矩阵进行四叉树分解
P0407：将图像分为文字和非文字的两个类别
P0408：形态学梯度检测二值图像的边缘
P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象
- Procedure code explanation
P0401: Examines the picture with the Prewitt operator the edge
P0402: Examines the picture with the different sigma value LoG
operator the edge
P0403: Examines the picture with the Canny operator the edge
P0404: Picture threshold value division
P0405: Divides the picture with the water line threshold value
law
P0406: Carries on to the matrix four forks the tree
decomposition
P0407: Divides into the writing and the non- writing two
categories the picture
P0408: The morphology gradient examines two values pictures the
edge
P0409: The morphology example 鈻♀枴deletes all electricity
streamline from the PCB picture, only retains the chip object Platform: |
Size: 40960 |
Author:李明 |
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Description: 这个是数学形态学在Matlab中对于数字图像处理的应用的一些指导性的意见。希望大家能喜欢。-This is a mathematical morphology in Matlab for digital image processing of the guiding opinions. Hope that we can like. Platform: |
Size: 478208 |
Author:我市 |
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Description: 利用数学形态学对云层背景下的目标进行检测识别，有两种方法。 -Using mathematical morphology of clouds in the context of target identification, there are two ways. Platform: |
Size: 1024 |
Author:赵翠芳 |
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Description: 研究数学形态学的二值形态学、灰度形态学的腐蚀、膨胀、开启和闭合四种基本运算，利用这4种基本运算消除图像噪声。本文在总结和分析了数学形态学的基本理论及其应用的基础上，用MATLAB编程实现消除图像噪声。仿真结果表明，本文应用二值形态学和灰度形态学去除图像噪声具有较好的效果，并有一定的实用性。-Study on binary mathematical morphology morphology, grayscale morphology of corrosion, expansion of open and closed four basic operations, use of these four kinds of basic computing to eliminate the image noise. In this paper, summarizing and analyzing the basic theory of mathematical morphology and its applications based on programming using MATLAB realize the elimination of image noise. Simulation results show that the application of binary gray-scale morphology and morphological image noise removal with good results, and have a certain degree of practicality. Platform: |
Size: 157696 |
Author:方方 |
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Description: 图象处理形态学应用：形态学梯度检测二值图像的边缘，形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象，计算图像中的欧拉数
-Morphological image processing applications: morphological gradient detected binary image of the edge, morphology examples- from PCB image delete all current lines, retaining only the target chip, computing image Euler Number Platform: |
Size: 10240 |
Author:朋友 |
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Description: 形态学重构-主要是为了复杂背景条件下的图像分割，采用matlab语言编写，具有很高的参考价值。-Morphological Reconstruction- mainly to under complex background image segmentation, using matlab language, with a high reference value. Platform: |
Size: 1024 |
Author:cwb |
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Description: 本程序应用了取两次阈值、基于特征的逻辑、二值形态学和相连成分的标识，确定了钢的显微图像中颗粒的边界，标识了不同的颗粒。-This procedure applies to take the two threshold values, based on characteristics of logic, binary morphology and connected component labeling, to determine the microstructure of steel grain boundaries of the image, identifies the different particles. Platform: |
Size: 64512 |
Author:zhaofei |
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Description: 在概述数字图像处理和MATLAB编程基础知识的基础上，主要围绕数字图像处理的主要内容图像增强、图像复原、图像编码与压缩、图像分割、图像形态学以及图像特征分析，系统阐述了数字图像处理技术的知识内容。(Based on an overview of digital image processing and the basic knowledge of MATLAB programming, mainly focus on the digital image processing of the main content of image enhancement, image restoration, image encoding and compression, image segmentation, image morphology and image feature analysis, introduced the knowledge of digital image processing technology.) Platform: |
Size: 26732544 |
Author:miq |
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Description: MATLAB缺陷检测系统
该课题为基于形态学的缺陷检测，素材采用的是光伏板缺陷。通过灰度，二值化，边缘检测，形态学，开闭运算，去除小面积干扰等方法，判断出缺陷所在，定位，并且框出，且计算出各个块面积。配有一个人机交互界面，把缺陷个数，面积等分别显示到GUI界面上。(Matlab defect detection system
This topic is based on the morphological defect detection, the material is photovoltaic board defect. Through gray level, binarization, edge detection, morphology, opening and closing operation, small area interference removal and other methods, the defects are identified, located, framed, and the area of each block is calculated. Equipped with a personal computer interface, the number of defects, area, etc. are displayed on the GUI interface.) Platform: |
Size: 669696 |
Author:for Matlab |
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Search - matlab morphology