I'm going to take a break from looking at M&Ms this week and instead consider a question that Richard asked yesterday:
"I have two binary images of the same size. I want to select regions from image one, where that region has to partially overlap with a region from image two."
I've seen this called the "Feature-AND" operation, and you can use the Image Processing Toolbox function imreconstruct to do it. I'll use one of the toolbox sample images to show you how.
bw = imread('text.png'); imshow(bw)
Suppose I've got a "marker" image that has a thick line running down the diagonal, like this:
stripe = logical(eye(256)); stripe = imdilate(stripe, ones(3,3)); imshow(stripe)
Now ask the question, "Which objects in the original image touch the line?" It's easy to use a simple elementwise AND to see which pixels in the original image touch the line:
touching_pixels = bw & stripe; imshow(touching_pixels)
Now to get the entire objects that are touching the line, apply an operation called morphological reconstruction, which is what imreconstruct does. This function takes two inputs, a marker image and a mask image. Use the touching pixels as the marker image, and use the original image as the mask image.
marker = touching_pixels; mask = bw; out = imreconstruct(marker, mask); imshow(out)
Here's another variation: "Which objects in the original image contain a vertical stroke that's at least 11 pixels tall?"
Start by eroding the original image by a vertical line structuring element.
se = strel(ones(11,1)); bw_eroded = imerode(bw, se); imshow(bw_eroded)
You can see that many characters are gone completely. If we define the pixels that are left as the marker image, then reconstruction gives us back the complete objects:
marker = bw_eroded; out = imreconstruct(marker, mask); imshow(out)
This is a very useful operation, and I recommend that you add it to your bag of image processing tricks.
要发表评论，请点击 此处 登录到您的 MathWorks 帐户或创建一个新帐户。