In computer vision, image segmentation is the process of partitioning a digital image into multiple segments. The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain visual characteristics. The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted from the image. Each of the pixels in a region are similar with respect to some characteristic or computed property, such as color, intensity, or texture. Adjacent regions are significantly different with respect to the same characteristic. When applied to a stack of images, typical in medical imaging, the resulting contours after image segmentation can be used to create 3D reconstructions with the help of interpolation algorithms like Marching cubes.
The numerical value of image segmentation in Chaldean Numerology is: 7
The numerical value of image segmentation in Pythagorean Numerology is: 6
Sample Sentences & Example Usage
It’s somewhere in some photo [collection] a friend of mine took but in a few years I will have forgotten who took it, we’re doing research on cracking the image open and understanding it at the individual pixel level. This is called image segmentation. We’re building the ability to understand the individual objects that compose an image.
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"image segmentation." Definitions.net. STANDS4 LLC, 2018. Web. 24 Mar. 2018. <https://www.definitions.net/definition/image segmentation>.