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现有三幅图像，图像1是包装瓶中的气泡图片，图像2是印刷电路板的元器件焊接质量检查图，图像3是封装后的胶囊状药品。实验要求从这三幅图片中，
1. 选择一副图像，并叠加零均值高斯噪声，分别利用均值滤波和中值滤波器对该有噪图像进行滤波，显示滤波后的图像，比较两滤波器的滤波效果。
2. 选择一副图像，并叠加椒盐噪声，分别用均值滤波器，中值滤波器对该图像进行滤波，比较滤波器的滤波效果。
3. 选择一幅图像，分别利用Laplacian算子和Sobel算子对图像进行锐化操作，比较锐化的效果。-Th
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数字图像处理中的平滑和锐化（边缘检测）。包括1、添加椒盐、高斯噪声。2对噪声污染的图像分别使用邻域平均法、中值滤波法、K邻近平均法进行平滑。3对一幅图像利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。附处理源图像和处理结果截图。
-Digital image processing smoothing and sharpening (edge detection). Including 1, add salt and pepper, Gaussian noise.
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利用高斯拉普拉斯算子对影像进行处理，并能够自由的读写该图像。-Gaussian Laplacian of the image processing, and free to read and write the image.
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分别用sobel、Laplacian-Gaussian方法对一幅灰度图像进行边缘提取,给出对比结果.-Respectively sobel, Laplacian-Gaussian method of gray an image edge extraction, given the results compared.
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数字图像处理最基本的一些算法，包括图像的Hough变换.维纳滤波.拉普拉斯高斯边缘检测等，是txt格式的源文件。-Digital image processing some of the most basic algorithm, including the image of the Hough transform. Wiener filter. Laplacian of Gaussian edge detection and so on, are the source txt file for
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用VC编写得灰度拉伸、拉普拉斯高斯边缘检测和图像的3D灰度显示得代码-VC with the preparation of a gray-scale stretch, Laplacian of Gaussian edge detection and 3D images show a gray code
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this application is to detect edge with a laplacian of gaussian edge detector
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laplacian of gaussian filter operation.
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用matlab编写的拉普拉斯高斯算子代码（LoG算子），用该函数实现LoG算子提取图像边缘点的功能。-Written by matlab Laplacian of Gaussian operator code (LoG operator), using the LoG operator functions for extracting the image edge points of the function.
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Keypoint Extraction
-The current directory contains functions allowing to extract keypoints also called "feature points", "corners", "interest points", etc. The following algorithm are provided :
- Harris
- SUSAN
- Harris-Laplace
- Laplacia
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本程序是基于vc的log算子，进行边缘检测。log算子是拉普拉斯算子和高斯低通滤波的结合，希望我的程序对大家的学习有所帮助。-This procedure is based on the vc log operator, edge detection. log operator is a combination of Laplacian and Gaussian low-pass filter, and want my program to help everyone to learn.
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Leung-Malik (LM)滤波器组由48个滤波器组成-The LM set is a multi scale, multi orientation filter bank with 48 filters. It consists of first and second derivatives of Gaussians at 6 orientations and 3 scales making a total of 36 8 Laplacian of Gaussian (LOG) filt
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拉普拉斯高斯算子
拉普拉斯—高斯算子（Laplacian of Gaussian算子，通常缩写为log算子）是一种二阶微分算子，将在边缘处产生一个陡峭的零交叉。-Laplace Gaussian operator Laplace- Gaussian operator (Laplacian of Gaussian operator, often abbreviated as log operator) is a second-order differential operator, will
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matlab编写的角点检测算子，包括Harris，SUSAN，Harris-Laplace，Laplacian of Gaussian (LoG)以及Gilles五种算子，内含测试图像-matlab prepared corner detection operator, including Harris, SUSAN, Harris-Laplace, Laplacian of Gaussian (LoG) and Gilles five kinds of operators, including
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对媒体技术实验之---图像边缘检测，分别使用Sobel,Prewitt,Roberts,Laplacian of Gaussian,zero-cross,Canny检测法对灰度图像进行边缘检测-For media technology experiments--- image edge detection, respectively, using Sobel, Prewitt, Roberts, Laplacian of Gaussian, zero-cross, Canny detection
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角点检测，包含
- Harris
- SUSAN
- LoG (Laplacian of Gaussian)
- Harris-Laplace-corner detector, include
- Harris
- SUSAN
- LoG (Laplacian of Gaussian)
- Harris-Laplace
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提出基于拉普拉斯高斯（Laplacian of Gaussian，LoG）算子边缘检测的全局二值化方法对其进行处理，该方法通过提取图像边缘部份的像素灰度获得图像二值化的阈值。处理结果表明，与传统的几种方法相比，该方法能够快速选取良好的二值化阈值，较好地区分目标和背景，在相当大模板宽度内图像二值化的结果都令人满意。-Is put forward based on the Laplacian of Gaussian (LoG) Laplacian of Gaussian, operator edge
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提取角点的实用程序，也叫特征点提取，包括Harris方法、SUSAN方法、SUSAN-Laplace方法。-extract keypoints also called feature , corners , interest points , etc.The following algorithm are provided : Harris SUSAN - Harris-Laplace- Laplacian of Gaussian (LoG)- Gilles The input imag
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Edge detection is widely used in image processing, image recognition and computer vision. Tradition edge detection
methods have a lot of disadvantages. This paper presents a new edge detection algorithm base on Matching Pursuit
(MP). Our method h
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拉普拉斯（Laplacian）梯度算子
和LoG（Laplacian of Gaussian）算子实现边缘检测。(Laplasse (Laplacian) gradient operator
And LoG (Laplacian of Gaussian) operator to realize edge detection.)
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