Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease
Sign Up to like & getrecommendations! Published in 2021 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2021.104427
Abstract: Image segmentation is an essential pre-processing step and is an indispensable part of image analysis. This paper proposes Renyi's entropy multi-threshold image segmentation based on an improved Slime Mould Algorithm (DASMA). First, we introduce the… read more here.
Keywords: renyi entropy; image; threshold image; segmentation ... See more keywords
Improved Latin hypercube sampling initialization-based whale optimization algorithm for COVID-19 X-ray multi-threshold image segmentation
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-63739-9
Abstract: Image segmentation techniques play a vital role in aiding COVID-19 diagnosis. Multi-threshold image segmentation methods are favored for their computational simplicity and operational efficiency. Existing threshold selection techniques in multi-threshold image segmentation, such as Kapur… read more here.
Keywords: multi threshold; segmentation; threshold image; image ... See more keywords
Multi-threshold image segmentation for melanoma based on Kapur’s entropy using enhanced ant colony optimization
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroinformatics"
DOI: 10.3389/fninf.2022.1041799
Abstract: Melanoma is a malignant tumor formed by the cancerous transformation of melanocytes, and its medical images contain much information. However, the percentage of the critical information in the image is small, and the noise is… read more here.
Keywords: multi threshold; image segmentation; model; threshold image ... See more keywords
An Enhanced Human Evolutionary Optimization Algorithm for Global Optimization and Multi-Threshold Image Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "Biomimetics"
DOI: 10.3390/biomimetics10050282
Abstract: Thresholding image segmentation aims to divide an image into a number of regions with different feature attributes in order to facilitate the extraction of image features in the context of image detection and pattern recognition.… read more here.
Keywords: image; threshold image; algorithm; image segmentation ... See more keywords
Multi-Threshold Image Segmentation Based on the Improved Dragonfly Algorithm
Sign Up to like & getrecommendations! Published in 2024 at "Mathematics"
DOI: 10.3390/math12060854
Abstract: In view of the problems that the dragonfly algorithm has, such as that it easily falls into the local optimal solution and the optimization accuracy is low, an improved Dragonfly Algorithm (IDA) is proposed and… read more here.
Keywords: multi threshold; improved dragonfly; segmentation; threshold image ... See more keywords