目标C——检测“路径”在地图图像内绘图
我有一张物理地图（现实世界），例如一张小镇地图。 地图上画了一条“路径”线，想象一下“你在这里。这是到达火车站的方法”:) 现在，假设我可以获得该场景的图像（同样，来自照片）。 图像如下：
我的目标并不容易！
我想获取图像的路径，即分离两层。
有没有办法从图像中提取那些红色标记？
也许使用 CoreGraphics？也许是外部图书馆？ 这不是 Objective C 特定的问题，但我正在 Apple iOS 上工作。
我已经研究过类似的东西，即面部识别。 现在我期望的答案是：“你所说的 PATH 是什么意思？” 好吧，我真的不知道，也许是一条与背景中的“主要”颜色完全不同颜色的线（见上图）。 我们来谈谈吧。
I have a physical map (real world), for example, a little town map.
A "path" line is painted over the map, think about it like "you are here. here's how to reach the train station" :)
Now, let's suppose I can get an image of that scenario (likewise, coming from a photo).
An image that looks like:
My goal is not easy way out!
I want to GET the path OUT of the image, i.e., separate the two layers.
Is there a way to extract those red marks from the image?
Maybe using CoreGraphics? Maybe an external library?
It's not an objective C specific question, but I am working on Apple iOS.
I already worked with something similar, the face-recognition.
Now the answer I expect is: "What do you mean by PATH?"
Well, I really don't know, maybe a line (see above image) of a completely different color from the 'major' colors in the background.
Let's talk about it.
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如果你会使用OpenCV那就变得更简单了。这是一个通用方法：
将图像分为色调、饱和度和变化（HSV 颜色空间）
这是 OpenCV 代码：
// 计算HSV图像并分离成颜色
IplImage* hsv = cvCreateImage( cvGetSize(img), IPL_DEPTH_8U, 3 );
cvCvtColor(img, hsv, CV_BGR2HSV);
IplImage* h_plane = cvCreateImage( cvGetSize( img ), 8, 1 );
IplImage* s_plane = cvCreateImage( cvGetSize( img ), 8, 1 );
IplImage* v_plane = cvCreateImage( cvGetSize( img ), 8, 1 );
cvCvtPixToPlane( hsv, h_plane, s_plane, v_plane, 0 );
仅处理色调 (h_plane) 图像，因为它只提供色调，而相同颜色的较浅或较暗阴影的值没有任何变化
检查哪些像素具有红色色调（我认为 HSV 的红色为 0 度，但请检查 OpenCV 值）
将这些像素复制到单独的图像中
我强烈建议如果可能的话使用 OpenCV 库，它基本上是为此类而设计的任务。
If you can use OpenCV then it becomes simpler. Here's a general method:
Separate the image into Hue, Saturation and Variation (HSV colorspace)
Here's the OpenCV code:
// Compute HSV image and separate into colors
IplImage* hsv = cvCreateImage( cvGetSize(img), IPL_DEPTH_8U, 3 );
cvCvtColor( img, hsv, CV_BGR2HSV );
IplImage* h_plane = cvCreateImage( cvGetSize( img ), 8, 1 );
IplImage* s_plane = cvCreateImage( cvGetSize( img ), 8, 1 );
IplImage* v_plane = cvCreateImage( cvGetSize( img ), 8, 1 );
cvCvtPixToPlane( hsv, h_plane, s_plane, v_plane, 0 );
Deal with the Hue (h_plane) image only as it gives just the hue without any change in value for a lighter or darker shade of the same color
Check which pixels have Red hue (i think red is 0 degree for HSV, but please check the OpenCV values)
Copy these pixels into a separate image
I's strongly suggest using the OpenCV library if possible, which is basically made for such tasks.
您可以过滤颜色，定义红色的阈值，然后将其他所有内容过滤为 alpha，然后您剩下的“路径”是什么？
You could filter the color, define a threshold for what the color red is, then filter everything else to alpha, and you have left over what your "path" is?