Exploration of image and 3D data segmentation methods:
an exhaustive survey

Exploration of image and 3D data segmentation methods:
an exhaustive survey

2D data
3D data
Convolutional neural network
Image
Segmantation semantic

The field of image and 3-dimensional (3D) data segmentation is growing fast and
has many uses, like in medicine, and robotics. In this article, we explain how
computers understand and divide images and 3D data. We compare different
ways of doing this in 2D and 3D, and look at the computer methods used. We
also discuss recent work and what they discovered. This article gives a broad
overview of what’s happening in this area of computer science. It explains the
goals of the research, how they do it, and what they’ve found out. It’s a useful
guide for researchers to understand what’s happening now and what challenges
they might face in the future.

Hasnae Briouya, Asmae Briouya, Ali Choukri

Journal homepage: http://journal.uad.ac.id/index.php/TELKOMNIKA

Jan 12, 2024

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