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: 41984 |
Author:何问宇 |
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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: 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: 2048 |
Author:肖雷 |
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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: MATLAB源码,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-MATLAB source code, P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line threshold Image segmentation method P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: morphological examples- delete images from the PCB All current lines, retaining only the target chip Platform: |
Size: 571392 |
Author:钟小丽 |
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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 Description P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line threshold Image segmentation method P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: morphological examples- from the PCB to remove all images current lines, retaining only the target chip Platform: |
Size: 40960 |
Author:张甲杰 |
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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 Description P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line threshold Image segmentation method P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: morphological examples- from the PCB to remove all images current lines, retaining only the target chip Platform: |
Size: 2048 |
Author:杨健 |
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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 Description P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line threshold Image segmentation method P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: morphological examples- from PCB image delete all current lines, retaining only the target chip Platform: |
Size: 44032 |
Author:hyh |
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Description: 检测图像的边缘:
用Prewitt算子检测图像的边缘
,用不同σ值的LoG算子检测图像的边缘
,用Canny算子检测图像的边缘
,图像的阈值分割
,用水线阈值法分割图像
,对矩阵进行四叉树分解
,将图像分为文字和非文字的两个类别
,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
-Image edge detection: edge detection using Prewitt edge images, with different σ value Log Operators image edge detection using Canny operator image edge detection, image thresholding, water line thresholding segmentation images, of the matrix quadtree decomposition, the image is divided into text and non-text of two categories, the morphological gradient detection of the edge binary image, morphology examples- from PCB image delete all current lines, retaining only the target chip Platform: |
Size: 40960 |
Author:张悦庭 |
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Description: 一篇利用小波理论实现数字图像边缘检测的方法的文章,可以实现多尺度多分辨率的边缘检测,其基本思想来源于金字塔算法,和传统算子相比有不少优势-The use of wavelet theory to achieve a digital image edge detection method of the article, you can realize multi-scale multi-resolution edge detection, the basic idea comes from the pyramid algorithm, and traditional operator has many advantages compared to Platform: |
Size: 115712 |
Author:郭炳煜 |
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Description: 数字图像处理程序集,包括形态学方法提取骨架、边缘检测、由明暗度提取外形信息等-Digital image processing procedures, including extraction of skeletal morphology, edge detection, shape from shading information, such as degree of extraction Platform: |
Size: 250880 |
Author:评比 |
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Description: 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-P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line thresholding segmentation image P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: morphological examples- from PCB image delete all current lines, retaining only the target chip Platform: |
Size: 3072 |
Author:sasa |
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Description: 多种图像边缘检测与分割处理 是M文件
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-A variety of image edge detection and segmentation is the deal with M files code Description P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line thresholding image segmentation P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: Morphological examples- from PCB image delete all current lines, retaining only the target chip Platform: |
Size: 41984 |
Author:jianglu |
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Description: 对矩阵进行四叉树分解,将图像分为文字和非文字的两个类别,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
-Of the matrix quadtree decomposition, the image is divided into text and non-text of two categories, the morphological gradient detection of the edge binary image, morphology example- images from the PCB to remove all current line (only to retain the chip object) calculated image Euler Number Platform: |
Size: 1024 |
Author:wang |
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Description: 数字图像的边缘检测
本科毕业设计(边缘检测是数字图像处理中的重要内容。本文首先对图像的边缘检测的各种算法和算子做了总结和分析。Canny最早提出了边缘检测的三条连续准则:最优检测结果、最优定位和低重复响应,并在这些准则的基础上得到了“最优线性滤波器”―高斯函数的一阶导数。经过十几年的发展,目前已经有了对这个准则的很多改进,本文也对这个方面的工作做了小结。Demigny在理论分析和实践的基础上给出了边缘检测的离散准则,并且证明在离散准则中Canny提出的第三个准则可以被阀值操作所取代。本文利用了数值方法求出了Demigny离散准则下阶梯形边缘检测的最优线性滤波器和对应着它的平滑算子。利用这个算子和Canny边缘检测方法得到了一个完整的边缘检测算法并用VC++实现了这种算法.从算法对大量图像边缘检测的结果来看,这种算法虽然简单但是效果很好,是边缘检测的一种很好的实用方法。-Edge detection is important in image procession. This paper made a summary and analysis of edge detecting algorithm and edge detector. Canny has proposed three continuous criteria to compare the performance of different filters: good detection, good localization and low-responses. Based on these criteria he got optimal filter for edge detection: derivative of Gaussian function. After more than ten years research, Canny’s theory has been ameliorated in many aspects, this paper also made a review of it. Based on the practice and theory. Demigny gave three discrete criteria for edge detection like Canny’s criteria and he has proofed that the third criterion can be replaced by an appropriate thresholding operation. This paper used numerical method to get the optimal filter and smooth operator under the Demigny’s criteria. Then I combine these filters and Canny’s edge detecting technique to get an integrated edge detecting algorithm. I have implemented the algorithm using VC++. From the res Platform: |
Size: 1397760 |
Author:swx |
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Description: 边缘提取算法提取细胞轮廓 适用于前景背景反差巨大-An object can be easily detected in an image if the object has sufficient
contrast from the background. We use edge detection and basic morphology
tools to detect a prostate cancer cell. Platform: |
Size: 2048 |
Author:cicy |
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Description: Matlab多种图像边缘检测方法
1、用Prewitt算子检测图像的边缘
2、用不同σ值的LoG算子检测图像的边缘
3、用Canny算子检测图像的边缘
4、图像的阈值分割
5、用水线阈值法分割图像
6、对矩阵进行四叉树分解
7、将图像分为文字和非文字的两个类别
8、形态学梯度检测二值图像的边缘
9、形态学实例——从PCB图像中删除所有电流线,仅保留芯片对象-Matlab a variety of image edge detection method 1, using Prewitt operator edge detection image 2, with different values of σ LoG operator edge detection image 3, the detection operator Canny edge image 4, image segmentation threshold 5, water line image segmentation threshold 6, on the matrix quadtree decomposition of 7, the image is divided into text and non-text for these two types of 8, detection of morphological gradient of the edge binary image 9, morphological examples- from the PCB images to remove all current lines, retaining only the target chip Platform: |
Size: 8192 |
Author: |
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Description: This project is about detecting edges using canny edge detector. The canny edge detector is implemented from scratch using c++. Steps involved in creating a canny edge detector: STEP 1: smoothen the image using gaussian blur. STEP 2: Use differential operator to find the magnitude and direction of every edge pixel. STEP 3: Non maximal supression or Thinning is done. Here the thick edges are supressed into thinner ones. STEP 4: Hysteresis Thresholding: Two thresholds are selected. pixels lower than the lowT will become zero. pixels higher than the HighT will become one. The candidate pixels will become one if they can be linked to any one of the strong pixel. Platform: |
Size: 5120 |
Author:穿山甲说
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