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: 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: 一种比较好用的边缘检测方法CORNER Find corners in tensity image.
％ CORNER works by the following step:
％ 1. Apply the Canny edge detector to the gray level image and obtain a
％ binary edge-map.
％ 2. Extract the edge contours from the edge-map, fill the gaps in the
％ contours.
％ 3. Compute curvature at a low scale for each contour to retain all
％ true corners.
％ 4. All of the curvature local maxima are considered as corner
％ candidates, then rounded corners and false corners due to boundary
％ noise and details were eliminated.
％ 5. End points of line mode curve were added as corner, if they are not
％ close to the above detected corners.-A more useful edge detection method CORNER Find corners in tensity image. CORNER works by the following step: 1. Apply the Canny edge detector to the gray level image and obtain a binary edge-map. 2. Extract the edge contours from the edge-map, fill the gaps in the contours. 3. Compute curvature at a low scale for each contour to retain all true corners. 4. All of the curvature local maxima are considered as corner candidates, then rounded corners and false corners due to boundary noise and details were eliminated. 5. End points of line mode curve were added as corner, if they are not close to the above detected corners. Platform: |
Size: 78848 |
Author:林蛋大 |
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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: 人民币质量的检测系统，采用粗细结合的方法进行图像配准，从图像采集到图像分析检测，是一个完整的检测系统-RMB quality inspection system, using thick combination of image registration methods, from image acquisition to image analysis detection, is a complete detection system Platform: |
Size: 5613568 |
Author:徐月琴 |
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Description: 深入浅出介绍计算机视觉的最新动态。内容包括：
* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration
* Extracting camera motion and scene structure from image sequences
* Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms
* Image-based lighting for illuminating scenes and objects with real-world light images
* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more
* Face detection, alignment, and recognition--with new solutions for key challenges
* Perceptual interfaces for integrating vision, speech, and haptic modalities
* Development with the Open Source Computer Vision Library (OpenCV)
* The new SAI framework and patterns for architecting computer vision applications-Easy to introduce the latest developments in computer vision. Include:* Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration* Extracting camera motion and scene structure from image sequences* Robust regression for model fitting using M-estimators, RANSAC, and Hough transforms* Image-based lighting for illuminating scenes and objects with real-world light images* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more* Face detection, alignment, and recognition- with new solutions for key challenges* Perceptual interfaces for integrating vision, speech, and haptic modalities* Development with the Open Source Computer Vision Library (OpenCV)* The new SAI framework and patterns for architecting computer vision applications Platform: |
Size: 12191744 |
Author:kankan |
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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: 求一个图像的最大内接矩形面积。
步骤：
1.相机标定。首先根据物像关系式求出其中的参数。注意参数求出后要进行参数校验。
2.从背景中分离出目标
3.边缘检测
4.目标形状参数计算。-For an image of the largest inscribed rectangle area. Steps: 1. Camera calibration. First of all object-image relationship in accordance with the parameters obtained. Attention to the parameters obtained after parameter calibration. 2. From the context of isolated target 3. Edge detection 4. Target shape parameters. Platform: |
Size: 4096 |
Author:cui ju |
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Description: 运动检测的目的是从序列图像中将变化区域提取出来。运动区域的有效分割对于目标分 类、跟踪和行为理解等后期处理非常重要，因为后期处理过程仅仅考虑图像中对应于运动区 域的像素。然而，由于背景图像的动态变化，如天气、光照、影子及混乱干扰等的影响，使 得运动检测成为一项相当困难的工作。-The purpose of motion detection from image sequence changes in the region will be extracted. Sports region segmentation for effective target classification, tracking and understanding behavior such as post-processing is very important, as post-processing the image corresponds to considering only the motion region of pixels. However, due to the dynamic changes of the background image, such as weather, light, shadow and chaotic interference effects, making motion detection into a very difficult task. Platform: |
Size: 5120 |
Author:zoubinbin |
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Description: Skin Detection.
This application allows the extraction, from an input image, the zones corresponding to the skin s color. to achieve this goal a learning phase was made prior Platform: |
Size: 1347584 |
Author:Adil |
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Description: Since the time I’ve wrote my first article about motion detection, I’ve got a lot of e-mails from different people around the world, who found the article quite useful and found a lot of applications of the code in many different areas. Those areas included simple video surveillance topics to quite impressive applications, like laser gesture recognition, detecting comets with telescope, detecting humming-birds and making camera shots of them, controlling water cannons, and many others Platform: |
Size: 15360 |
Author:hehe |
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Description: This paperpresent a data-driven, unsupervised method for unusual
scene detection from static webcams. Such time-lapse
data is usually captured with very low or varying framerate.
This precludes the use of tools typically used in
surveillance (e.g., object tracking). Hence, our algorithm
is based on simple image features. This paperdefine usual scenes
based on the concept of meaningful nearest neighbours instead
of building explicit models. To effectively compare
the observations, our algorithm adapts the data representation.
Furthermore, This paperuse incremental learning techniques
to adapt to changes in the data-stream. Experiments on several
months of webcam data show that our approach detects
plausible unusual scenes, which have not been observed in
the data-stream before. Platform: |
Size: 9020416 |
Author:shpark |
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Description: 本书全面系统地讨论了数字图像处理的理论、设计及应用。全书由自成体系而又互有联系的 章
组成，分别讨论了位图及图像类的概念、图像获取、图像增强、图像复原、正交变换、压缩编码、图像配准、运动检测、特征提取、图像分割及识别的相关知识，基本涵概了从图像获取到图像处理的各个领域-The book is a comprehensive system to discuss the theory, design and application of digital image processing. The book consists of self-contained without mutual contact chapters discuss the concept of a bitmap image class, image acquisition, image enhancement, image restoration, orthogonal transformation, compression, image registration, motion detection, feature extraction , image segmentation and identification of related knowledge, basic Hangai the various fields from image acquisition to image processing Platform: |
Size: 5280768 |
Author:张箫 |
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Description: Wound detection image captured with live camera
With this code we can automatically identify the wound in human body and its area.
-Wound detection image captured with live camera
With this code we can automatically identify the wound in human body and its area.
Platform: |
Size: 11264 |
Author:Lee Kurian |
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Search - detection from image