Oct. 20, 2021
You might know you want to bring computer vision into your organization—but do you know exactly which computer vision use case would offer the most benefit? Image segmentation is a subfield of computer vision that seeks to divide an image into contiguous parts by associating each pixel with a certain category, such as the background or a foreground object.
The output of image segmentation is a “masked” image in which each pixel is given a certain color based on the object it is a part of. For example, in a photograph of a street scene, one person may be colored blue, another person may be colored green, a car may be colored red, the background may be colored white, etc.
Image segmentation is related to, but distinct from, other computer vision tasks such as image recognition and object recognition. To illustrate the difference, suppose that we have an input image of a soccer game, with multiple players on the field. The results of running these three tasks on this image would be as follows:
The potential applications of image segmentation include:
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