The darker pixels are represented by a number closer to the zero and lighter pixels are represented by numbers approaching one. Here is a hypothetical example of how pixels form an image. So the computer sees an image as numerical values of these pixels and in order to recognise a certain image, it has to recognise the patterns and regularities in this numerical data.
But does a computer also see it in the same way? The answer is no.Ī digital image is an image composed of picture elements, also known as pixels, each with finite, discrete quantities of numeric representation for its intensity or grey level. You most probably look for different shapes and colours in the Image and that might help you decide that this is an image of a dog. How does a human mind apprehend an image? When you see the image below,what do you actually see and how do you say what is in the Image? The main objective of this branch of artificial intelligence is to teach machines to collect information from pixels. This data is then turned into a computer-readable language to aid the decision-making process. This extensive processing helps computers to understand any visual content and act on it accordingly.Ĭomputer vision projects translate digital visual content into explicit descriptions to gather multi-dimensional data. The entire process involves image acquiring, screening, analysing, identifying and extracting information. As already mentioned above, It’s a subset of artificial intelligence which collects information from digital images or videos and processes them to define the attributes.
The term essentially means giving a computer the ability to see the world as we humans do.Ĭomputer Vision is a field of study which enables computers to replicate the human visual system. The term Computer Vision (CV) is used and heard very often in artificial intelligence (AI) and deep learning (DL) applications.
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