检查图像中太薄的区域 [英] Check for areas that are too thin in an image

问题描述

我正在尝试验证雕刻机的黑白图像（更多的剪贴画图像 - 而不是照片）。

我需要考虑的主要事项之一是区域的大小（或线宽），因为机器无法处理太薄的线 - 所以我需要找到比给定阈值更薄的区域。

I am trying to validate black and white images (more of a clipart images - not photos) for an engraving machine.
One of the major things I need to take into consideration is the size of areas (or width of lines) since the machine can't handle lines that are too thin - so I need to find areas that are thinner than a given threshold.

拿这个例如：

竖琴的琴弦可能太薄而无法雕刻。

The strings of the harp might be too thin to engrave.

我正在阅读关于Matlab和OpenCV但是图像处理是我第一次学习的领域。

I am reading about Matlab and OpenCV but image processing is an area I am learning about for the first time.

我是一名Java / C＃开发人员，因此使用其中一种语言进行的实施对我来说是最好的，但任何方向都会受到高度赞赏。

I am a Java / C# developer so implementation done with one of those languages will be best for me but any direction will be greatly appreciated.

推荐答案

使用 matlab 利用图像形态操作：

定义允许区域的最小厚度，例如 minThick = 4

Define the minimal thickness of allowed area, for example, minThick=4

BW = imread('http://i.stack.imgur.com/oXKep.jpg'); 
BW = BW(:,:,1) < 128; %// convert image to binary mask
se = strel('disk', minTick/2, 0); %// define a disk element   
eBW = imerode( BW, se ); %// "chop" half thickness from mask
deBW = imdilate( eBW, se ); %// dilate the eroded mask

侵蚀和扩张应该留下比<$ c $更厚的区域c> minThick 不变，但会删除细小区域

Eroding and dilating should leave regions that are thicker than minThick unchanged, but it will remove the thin areas

invalidArea = BW & ~deBW; %// pixels that are in BW but not in deBW

结果：

Resulting with:

您可以阅读更多关于 imdilate 和 imerode 。

You can read more about imdilate and imerode in the linked documentation.

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