A Survey on Applications and Performance of Deep Convolution Neural Network Architecture for Image Segmentation

Volume 20 No 22 (2022)

K.Bhargavi, Nethravathi P S, Ch V Phani Krishna

DOI: 10.48047/nq.2022.20.22.NQ10397

Abstract

To "depart" an image is to divide it into smaller, more manageable pieces using analytical methods. Partitioning an image into separate regions is a necessary pre-processing step for image analysis leading to object representation, exploration, recognition, dimension, and visualisation; however, care must be taken to eliminate the things or functions of interest that are strongly linked to each region. [1-3] Therefore, segmentation is also known as a technique for grouping pixels that have comparable characteristics. The research demonstrates that a number of different methods may be used for picture division.

Keywords

To "depart" an image is to divide it into smaller, more manageable pieces using analytical methods.

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