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Description: SUSAN边缘检测及角点检测的vc实现代码，用于静态图象的边缘及角点检测，效果要视具体图象来定-SUSAN edge detection and corner detection of vc achieve code for static images and the edge angle detection, the effect would depend on the specific images to determine
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Size: 10240 |
Author: 李杰 |
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Description: 该代码为图像处理边缘增强,能够很好的提取图像目标边界-code for the image processing Edge Enhancement, to extract a good image border
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Size: 651264 |
Author: kai |
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Description: 基于存在概率图的圆检测方法.提出了一种基于存在概率图的圆检测方法, 将图像边缘点共圆结构信息变换为圆存在概率图中的峰, 再通过峰值检测确定圆的参数。该方法能有效地检出边缘不清晰、不完整的圆形轮廓, 具有占用内存少, 阈值物理意义明确的特
点, 较好地解决了标准 HT 圆检测方法中占用内存空间大, 计算效率低的问题。实验结果表明圆存在概率图具有较强的稳定性和分辨能力.-Probability map based on the existence of circle detection method. Presents a probability map based on the existence of circle detection method to image edge points, a total of circular structure of the existence of information is transformed into a round map of the peak probability, and then through the peak detector to determine the parameters of a round. This method is effective in detecting the edge of unclear, incomplete circular profile, with less memory, the physical meaning of the threshold specific characteristics, a better solution to the standard circle detection method HT memory space, the computational efficiency of low- problems. The experimental results show that the existence of the probability circle map has strong stability and resolving power.
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Size: 305152 |
Author: 蒋大为 |
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Description: Canny认为一个优良的边缘检测算子应具有以下3个特性:
① 好的检测性能。不漏检真实边缘，也不把非边缘点作为边缘点检出，使输出的信噪比最大。
② 好的定位性能。检测到的边缘点与实际边缘点位置最近。
③ 唯一性。对于单个边缘点仅有一个响应。-Canny think a good edge detector should have the following three characteristics: ① good detection performance. Not missed a true edge, nor the non-edge points as edge points detected, so that the maximum output signal to noise ratio. ② good positioning performance. Detected edge point and the actual location of the edge recently. ③ unique. For a single edge point only one response.
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Size: 5120 |
Author: rex2042 |
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Description: canny edge detector，下面是canny edge detector的算法： 1.将图像与高斯函数做卷积，获得平滑图像。 2.用基于平滑梯度方向的方法确定图像局部边缘的法向。 3.根据局部边缘的法线方向求解边缘位置。 4.计算边缘强度，并对梯度幅值进行非极大值抑制。 5.用双阈值算法检测和连接边缘。该文件提供了canny edge detector的VC实现代码。-canny edge detector, the following is a canny edge detector algorithm: 1. will make the image with the Gaussian convolution function to obtain a smooth image. 2. Gradient-based smoothing method to determine the direction of the edge of the image of local law to. 3. According to the local normal direction to solve the edge of the edge location. 4. Calculation of the edge strength, gradient amplitude and non-maxima suppression. 5. To use dual-threshold algorithm for edge detection and connection. The document provides a canny edge detector realize the VC code.
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Size: 4139008 |
Author: 桂祖恒 |
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Description: 边缘检测是数字图象处理、图象分析和识别领域中的重要课题。近年来，由于彩色图象的广泛应用，使彩色数字图象处理技术日益收到关注，彩色图象边缘检测是在众多的彩色图象处理中极为重要的方法，这是因为图象分割、识别等大量的高层次彩色图象处理均建立在低层次边缘检测的基础上。本实验是将彩色RGB图象首先转换为灰度图象，然后利用经典的边缘检测算Canny算子来实现边缘检测，然后再统计出边界方向的直方图。-Edge detection is a digital image processing, image analysis and identification of important issues in the field. In recent years, due to the extensive application of color images, so color digital image processing technology increasingly received attention, color image edge detection in color image processing a large number of extremely important ways, this is because the image segmentation, identification such a large number of high-level color image processing are built on low-level edge detection based on. This experiment is the first color RGB image is converted to grayscale images, and then use the classical Canny edge detector operator to realize edge detection, and then the statistics of the histogram of the direction of the border.
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Size: 8410112 |
Author: 周倩 |
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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.
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Size: 78848 |
Author: 林蛋大 |
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Description: 包含canny edge detector 和 shape context 的优化计算。-Contains the canny edge detector and the shape context of the optimization calculation.
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Size: 1024 |
Author: 戴天天 |
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Description: 空间特征提取：
* canny.m Canny edge detector incorporating modifications suggested by Fleck.
* harris.m Harris corner detector.
* fastradial.m An implementation of Loy and Zelinski s fast radial feature detector. -Spatial Feature Extraction:* canny.m Canny edge detector incorporating modifications suggested by Fleck .* harris.m Harris corner detector .* fastradial.m An implementation of Loy and Zelinski s fast radial feature detector.
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Size: 5120 |
Author: asdasdasd |
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Description: 对输入的图象用Kirsch算子进行边缘检测,参数K用来调整边缘的多少-The input image by Kirsch edge detection operator, parameter K used to adjust the edge of the number of
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Size: 181248 |
Author: 文华 |
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Description: 图像的一些边缘检测算子，Hough变换，还有就是轮廓提取与轮廓跟踪，还包括种子填充-Images of some edge detector, Hough transform, as well as contour extraction and contour tracking, but also the seed filling
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Size: 3960832 |
Author: 华 |
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Description: Phase Based Template Matching: Phase information is used for matching the input imagery with the template. Both the images are filtered with canny edge detector. The timing efficiency is introduced by implementing skipping steps while doing correlation. The advantage of Phase based correlation technique is that it shows good response against shift/brightness variation and noise addition i.e. salt & pepper/Gaussian noise [1,2]. Templates includes small portion of cropped from input imagery with gaussian noise introduced in them.
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Size: 71680 |
Author: zhangxq |
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Description: 背景差分法对运动汽车的检测，对检测得到的汽车图像进行预处理和边缘提取-Background difference method for the detection of movement of motor vehicles, the vehicle has been detected image pre-processing and edge extraction
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Size: 16384 |
Author: 温鑫 |
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Description: vc++6.0实现的hough直线检测算法和log边缘检测算法。-vc++ 6.0 achieved hough line detection algorithm and log edge detection algorithm.
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Size: 66560 |
Author: 孙宇 |
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Description: 图像各种边缘检测算子的比较，包括介绍了四种边缘检测算子包括Roberts边缘检测算子、Sobel边缘检测算子、Prewitt边缘检测算子和高斯—拉普拉斯边算子-Image a variety of edge detection operator of comparison, including the introduction of the four edge detection operator, including Roberts edge detector, Sobel edge detection operator, Prewitt edge detection operator and the Gauss- Laplace Edge Operator
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Size: 3748864 |
Author: 李慧芳 |
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Description: 调用opencv库，采用sobel算子实现图像的边缘检测功能-Opencv library calls using the sobel operator edge detection of image
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Size: 2077696 |
Author: leon |
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Description: C++ Qt implementation of edge detection algorithms.
Currently available algorithms:
Canny edge detector
Sobel edge detector
Prewitt edge detector
Roberts cross
Scharr operator
The project includes GUI for viewing results.
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Size: 6144 |
Author: 穿山甲说
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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.
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Size: 5120 |
Author: 穿山甲说
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Description: edge detection using aco
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Size: 1148928 |
Author: haniy
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Description: edge detection using log
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Size: 286720 |
Author: haniy
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