Split image using a predefined line

Is there anyway to split an image into two using a predefined line that passes through an object's centroid. I have already found the centroid and plotted the line, but I am unsure of how to separate the image using this line. Many Thanks

2 个评论

Split it into two what? You mean you want a version of the image with the pixels to one side of the line made dark? How would you like to deal with boundary pixels that lie partially on both sides of the line?
I have drawn this line, and i wish to separate the image so i can calculate the height and width of both the bottom and top sections. The image doesn't need to be physically separated, just recognised as two different objects

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 采纳的回答

Sure. I'm going to assume the line cuts across the entire image. Then use poly2mask() to create a binary image.
mask = poly2mask(x, y);
Then you can either blacken above/below the line.
imageAbove = grayImage;
imageAbove(mask) = 0;
imageBelow = grayImage;
imageBelow(~mask) = 0;
You can also crop to the bounding box or leave it at the original size, using imcrop() or regular indexing.

5 个评论

Ben
Ben 2014-5-2
编辑:Ben 2014-5-2
this may seem like a stupid question, but what values do i use for the x and y values? my centroid co-ordinates? or my line co-ordinates? But thank you ever so much!
You need to extend the line from the centroid, at whatever angle it is, until each end strikes the boundary of the image. Then add points at the corners of the image. So you will have either 3, 4, or 5 vertices depending on exactly where the line strikes the outer perimeter of your image.
If the line is horizontal, just use normal, regular indexing:
topPart = grayImage(1:middleRow,:);
bottomPart = grayImage(middleRow+1:end, :);
Ben
Ben 2014-5-3
编辑:Ben 2014-5-3
I have a line drawn throught the cetnroid, but i do not know how to stop the line when it reaches the image border. Edit: I only have Matlab 2012 - if that changes anything
Ben, it's just simple algebra. I simply used the point slope formula for a line. See attached test3.m file to produce the image below.

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