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全部文章 / computer-vision （共15篇）

[cv] linearity and convolution

Linearity: An operator or system H is linear if two properties hold: 1. Additivity: H(f1+f2) = H(f1) + H(f2) 2. scaling multiplicative H...

2020-07-13

0 412

[cv] filters as templates-normxcorr2(template,img)

introduction images are not just functions (intensity). it also contains location properties. 1D correlation the filter is normalized and then i...

2020-07-13

0 903

[cv]edge detection: gradients

usually, filter is used to find a specific pattern in the pictures. If we want to find lines and edges in the picture, firstly we think about gradien...

2020-07-13

0 397

[cv]edge detection: 2d operators

derivative of 2d gaussian filter Gaussian derivative in x,y direction effect of sigma in smoothing filter canny edge operator in mat...

2020-07-13

0 903

[cv]hough transform ----circle

hough transform for circles if the radius is not fixed, hough of circle in image will be a 3D space. but if the gradient of a circle is given,...

2020-07-13

0 537

[cv]generalized hough transform

general hough specific hough transform is usually used in images with a specific shape (line, circle). example algorithm

2020-07-13

0 559

[cv] convolution in frequency domain

convolution in frequency domain convolution in spatial domain == multiplication in frequency domain. FFT Fast Fourier Transform smoothing and...

2020-07-13

0 432

visual studio 2017 配置 opencv 3.2 开发环境

1. 安装opencv 3.2 链接地址：https://sourceforge.net/projects/opencvlibrary/files/opencv-win/3.2.0/opencv-3.2.0-vc14.exe/download 下载后双击进行解压。解压后，将安装路径加入环境变量。...

2020-07-13

0 592

[cv] camera geometry and color sensing

pin hole model with lens can make image less blurry. how an image is stored in computer? we lost angles and lengths from 3D to 2D picture. ...

2020-07-13

0 517

[cv] Fourier Transform, Image Convolution, Edge Detection

1. Fourier Transform convolution neutral networks is a hot spot in machine learning technique. But is that convolution the same as the following con...

2020-07-13

0 510