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A frequent problem in image processing is aligning two or more images together.
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Today we released DIPlib version 3.5.2.
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For a while I’ve been interested in adding the popular graph cut segmentation algorithm to DIPlib.
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This morning I was reading a chapter about the architecture of ITK in a book called The Architecture of Open Source Applications (Volume 2).
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This week we released DIPlib version 3.5.0.
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Say, you have a labeled image, like this: And say, some of those labeled regions are not objects of interest.
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I find myself regularly explaining how to efficiently implement a convolution (a linear filter).
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Today’s post discusses different possible color maps you can use to display a scalar image (i.e. an image with a single channel, often referred to as a grayscale image).
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OpenCV is undoubtedly the most popular library for image processing and computer vision.
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Yesterday we released DIPlib version 3.4.0.