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拉普拉斯算子、Sobel算子和Prewitt算子对图像进行边缘、轮廓的检测-Laplace operator, Sobel Operator and Prewitt Operator right image edge contour detection
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Edge detection algorithms are important tools in image
processing applications for carrying out much information and
being relatively easy to produce. Sobel Canny and logarithmic
algorithms [1] are among several edge detection algorithms
used
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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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对传统的Sobel图像边缘检测算子进行改进,并通过VC++实现对灰度图像的边缘检测-The traditional Sobel image edge detection operator to improve, and through the VC++ to achieve
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索贝尔算子(Sobel operator)是图像处理中的算子之一,主要用作边缘检测。在技术上,它是一离散性差分算子,用来运算图像亮度函数的梯度之近似值。在图像的任何一点使用此算子,将会产生对应的梯度矢量或是其法矢量
Sobel算子有两个,一个是检测水平边沿的;另一个是检测垂直平边沿的。Sobel算子另一种形式是各向同性Sobel (Isotropic Sobel)算子,也有两个,一个是检测水平边沿的,另一个是检测垂直边沿的各向同性Sobel算子和普通Sobel算子相比,它的位置加权系数更为准
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用java使用了Sobel算子以及Laplace算子实现的图像边缘提取,时钟时间识别-With java using Sobel operator and the Laplace operator to achieve image edge detection, recognition time clock
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VS2013+OPENCV2.4,OTSU阀值分割确定目标区域,sobel差分算子用来进行边缘检测,可知程序运行时间-VS2013+OPENCV2.4, OTSU segmentation threshold determining target region, sobel operator for performing differential edge detection, it can be seen running time
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Edge detection of various VCcanny algorithm source code, sobel, good good
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Classic edge detection algorithm Sobel matlab source
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Classic edge detection algorithm Sobel matlab source
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Classic edge detection algorithm Sobel matlab source
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四种边缘检测算法,matlab实现。Sobel算法、LOG算法结果、还有另外两种。(Four edge detection algorithms, matlab implementation)
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This Application aim to detect the lines using Sobel or my custom Algorithm. In image processing, this app associated with Edge Detection and Fixed pattern Noise.
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索贝尔算子进行图像边缘检测,用于图像边缘检测,用VS2017+opencv3.0实现。图像位24位jpg格式(Image edge detection based on Sobel operator)
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调用自定义函数解决题目:
1.读取自然图像、生成合成图像、高相关图像、高去相关图像,完成压缩
2.得到傅里叶变换后的图像
3.fft中心变换\walsh变换,进行两种变换的对比
4.得到傅里叶变换后的图像和傅里叶变换需要的时间,显示变换后的图像,显示傅里叶变换时间随图像像素的变化
5.显示不同阶数butterworth高通滤波和低通滤波滤波器的传递函数和处理后的图像
6.调用butterworthw.m,显示原图像、原图像频谱、低通滤波、高通滤波的传递函数,以及滤波器处理后的图像
7.拉普拉斯高
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MATLAB canny、sobel等各种边缘检测算子(edge detection using different methods)
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本程序采用了robbert,sobel,LoG,prewitt四种算子对同一副图像进行边缘检测,以此查看不同效果(This procedure uses Robbert, Sobel, LoG, Prewitt four kinds of edge detection operator on the same image, to view the different effect)
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边缘检测算子测试,以及对比。包括有Roberts,Canny,Sobel 等算子(Edge detection operator test and contrast.including Roberts,Canny and so on)
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边缘检测算子
图像边缘信息主要集中在高频段,通常说图像锐化或检测边缘,实质就是高频滤波。我们知道微分运算是求信号的变化率,具有加强高频分量的作用。在空域运算中来说,对图像的锐化就是计算微分。由于数字图像的离散信号,微分运算就变成计算差分或梯度。图像处理中有多种边缘检测(梯度)算子,常用的包括普通一阶差分,Robert算子(交叉差分),Sobel算子等等,是基于寻找梯度强度。拉普拉斯算子(二阶差分)是基于过零点检测。通过计算梯度,设置阀值,得到边缘图像。(The image edge infor
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包括canny,sobel,log等边缘检测的改进算法,使用效果良好(Including improved edge detection algorithms such as canny, sobel, log and so on, the application effect is good.)
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