A Comparative Study of State-of-the-Art Deep Learning Models for Semantic Segmentation of Pores in Scanning Electron Microscope Images of Activated Carbon

A Comparative Study of State-of-the-Art Deep Learning Models for Semantic Segmentation of Pores in Scanning Electron Microscope Images of Activated Carbon

Accurate measurement of the microspores, mesopores, and macropores on the surface of the activated carbon is essential due to its direct influence on the material’s adsorption capacity, surface area, and overall performance in various applications like water purification, air filtration,...

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Bibliographic Details
Main Authors: Bishwas Pokharel, Deep Shankar Pandey, Anjuli Sapkota, Bhimraj Yadav, Vasanta Gurung, Mandira Pradhananga Adhikari, Lok Nath Regmi, Nanda Bikram Adhikari
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Semantic segmentation
SEM images
activated carbon
ground truth
Adam optimizer
intersection over union
Online Access:https://ieeexplore.ieee.org/document/10478488/

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