Tag: image-processing
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In the area of digital image processing, image enhancement is a crucial technique aimed at improving the visual quality of an image, making it more suitable for a specific application or for human interpretation. The goal is to highlight certain features of interest or to simply make the image more...
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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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This post discusses the basic point operations and the next post will be covering spatial filters. Point Operation Point operations are often used to change the grayscale range and distribution. The concept of point operation is to map every pixel onto a new image with a predefined transformation function. g(x,...
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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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