如何：图形壁画“耐克”我们是洛杉矶“图形壁画“？ [英] How to: graphic mural "nike "we are LA" graphic mural"?

问题描述

有没有人知道做这样的错综复杂的步骤：图形壁画耐克我们是LA图形壁画？



喜欢我们是洛杉矶Behance的图形壁画 [ ^ ]



我从哪里开始，这样的东西需要什么工具，这很复杂？



我试过的：



我看过Image Mosaic是如何组合在一起的。

解决方案

并不是非常复杂。你可以用很多作品来看看如何从照片中生成这样的图片：



Java：Java中的Ascii艺术生成器 [ ^ ]，

GitHub - korhner / asciimg：用Java编写的ascii图像生成器。 [ ^ ]，

Ascii Art for Java - 在SourceForge.net浏览文件 [ ^ ]，

https://dzone.com/articles/ascii-art-generator-java [ ^ ];

参见： http://bfy.tw/52AU [ ^ ]。



我希望你不要问我我的问题与 ASCII艺术？但是，为了以防万一，我会解释。我注意到你引用的图片由较小的像素元素组成，这些像素元素看起来像是单独的可识别的字形，在功能上扮演与ASCII艺术中的字符字形相同的角色。您可以为每个元素分配一定的光学密度，以后可以使用ASCII艺术算法（或非常类似）。要找到密度，您可以将每个字形设计为具有某种不同比例的白色和黑色颜色。对于这类可用的艺术品，您可以在平面扫描仪中轻松扫描，并自动计算图像中的白色像素和黑色像素（在对其进行一些极端对比后）。



这可能是非常有趣的东西和一些工作，但没有什么主要困难。

-SA

Does any one know the intricate steps to do something like this: Graphic Mural "Nike "We Are LA" Graphic Mural"?

Nike "We Are LA" Graphic Mural on Behance[^]

Where do I start, what tools are needed for something like this, complicated?

What I have tried:

I have looked at how Image Mosaic are put together.

解决方案

Not extremely complicated. There is a good number of works which you can use to see how to do the generation of such picture out of a photograph:

Java: Ascii art generator in Java[^],
GitHub — korhner/asciimg: An ascii image generator written in Java.[^],
Ascii Art for Java — Browse Files at SourceForge.net[^],
https://dzone.com/articles/ascii-art-generator-java[^];
see also: http://bfy.tw/52AU[^].

I hoped you would not ask me "how is my problem related to ASCII art?". But, just in case, I'll explain. I noticed that the picture you referenced is composed of smaller pixel elements which look like separate well-recognizable glyphs, functionally playing the same role as the character glyphs in "ASCII art". You can assign each element certain optical density which can be later used by the algorithm of ASCII art (or very similar to that). To find the density, you can design each glyph to have certain different ratio of "white" and "black" color. For an available piece of art of this sort, you can easily scan it in a flat scanner, and count "white pixels" and "black pixels" in the image automatically (after some extreme contrasting performed on it).

This can be pretty funny stuff and some amount of work, but nothing principally difficult.

—SA

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