Tag: imaging
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What is a Color Model? A color model is a mathematical way to describe and represent colors using numbers – typically in tuple like RGB (three values: Red, Green, Blue) or quadruple like CMYK (four values: Cyan, Magenta, Yellow, Black). These values define positions in a coordinate system that helps...
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As the world goes digital, document scanning has become critical for modern business operations, offering easier storage, access, and management of documents. However, the quality of scanned images is crucial for the effectiveness of these digital archives. High-quality scans ensure that text is clear, data is accurately captured, and information...
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In image processing, the term morphology refers to a set of operations which analyzes shapes to fill in small holes, remove noises, extract contours, etc. A morphological operation is a lot like the filtering process in spatial convolution. There are two parts in play: a structuring element and a predefined...
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In the last post, we discussed a few common color models, specifically RGB, HSV, and YUV. A color model is an abstract mathematical model that describes how colors can be represented as a set of numbers. In this post, we will look at how to convert them to grayscale. Grayscale...
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Image processing and computer vision are hot trends in computer science that continue to show strong signs of momentum into the future due to their wide application and optimistic development prospects. In the first post of this blog series, we introduce the fundamentals of image processing by looking at what are images and how...
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