我正在寻找特定的矩阵插入到卷积矩阵 [英] I'm looking for specific matrices to plug into a convolution matrix

问题描述

假设我已经有了一个工作卷积矩阵算法，我正在寻找一些通用矩阵的实际例子，这些矩阵对于图像处理尤其有用。

正规的例子，你会发现无处不在的高斯框模糊：

  1 1 1 
 1 1 1 
 1 1 1 
  

图像锐化：

  0 -1 0 
 -1 5 -1 
 0 -1 0 
  

边缘检测：

  0 1 0 
 1 -4 1 
 0 1 0 
  

and emboss：

  -2 -1 0 
 -1 1 1 
 0 1 2 
  

有没有更多的我失踪了？

解决方案

，是max / msp的一部分的图像处理框架？示例补丁中有很多卷积矩阵的例子，它是一个非常灵活的算法原型环境。

http://cycling74.com

马上想到一件不在您名单上的东西就是反馈，但是通常在视频环境中更有趣。

Assuming I already have a working convolution matrix algorithm in place, I'm looking for practical examples of general matrices that are useful for image processing in particular.

The canonical examples you'll find everywhere are non-gaussian box blur:

1 1 1
1 1 1
1 1 1

Image sharpening:

 0  -1   0
-1   5  -1
 0  -1   0

Edge detection:

0  1  0
1 -4  1
0  1  0

and emboss:

-2 -1  0
-1  1  1
 0  1  2

Are there more I'm missing?

解决方案

have you ever played with jitter, the image processing framework that's part of max/msp? There are a lot of examples of convolution matrices within the example patches, and it's an extremely flexible algorithm prototying environment.

http://cycling74.com

One thing that comes to mind immediately that's not in your list is feedback, but that's usually more interesting in a video context.

这篇关于我正在寻找特定的矩阵插入到卷积矩阵的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！