Titre :	A Modified Black Widow Optimization Algorithm for Multilevel Thresholding Image Segmentation
Type de document :	texte imprimé
Auteurs :	Hocine Seif Eddine Lakhal, Auteur ; Khaled Ounis, Auteur ; Semcheddine,Moussa, Directeur de thèse
Année de publication :	2022
Importance :	1 vol (65 f .)
Format :	29cm
Langues :	Français (fre)
Catégories :	Thèses & Mémoires:Informatique
Mots-clés :	Optimization Bio-inspired algorithms
Index. décimale :	004 - Informatique
Résumé :	One of the most crucial aspects of image segmentation is multilevel thresholding. It works by partitioning a digital image into multiple regions or sets. There are many methods for image segmentation but Multilevel thresholding is the methods that easily performs this task. The key objective of any multilevel thresholding method is to obtain the optimal thresholds on a target image for the region of interest. He problem then is to find the best thresholds that properly segment each image. In this paper, we suggest a multilevel thresholding algorithm using Modified Black Widow Optimization (MBWO) to find the best threshold configuration using Otsu and Kapur as objective function. As for how this algorithm functions, it uses an opposite based initialization to increase the quality of the initial population and the likelihood of starting with suitable individuals, a delay in sexual cannibalism to prevent the loss of fit fathers, and adaptive crossover and mutation probabilities to maintain a balance between exploration and exploitation.
Côte titre :	MAI/0696
En ligne :	https://drive.google.com/file/d/1K9UQEO_lM6zbhXo7fhXEydPsI-J1EiBr/view?usp=share [...]
Format de la ressource électronique :	pdf

A Modified Black Widow Optimization Algorithm for Multilevel Thresholding Image Segmentation [texte imprimé] / Hocine Seif Eddine Lakhal, Auteur ; Khaled Ounis, Auteur ; Semcheddine,Moussa, Directeur de thèse . - 2022 . - 1 vol (65 f .) ; 29cm.
Langues : Français (fre)

Catégories :	Thèses & Mémoires:Informatique
Mots-clés :	Optimization Bio-inspired algorithms
Index. décimale :	004 - Informatique
Résumé :	One of the most crucial aspects of image segmentation is multilevel thresholding. It works by partitioning a digital image into multiple regions or sets. There are many methods for image segmentation but Multilevel thresholding is the methods that easily performs this task. The key objective of any multilevel thresholding method is to obtain the optimal thresholds on a target image for the region of interest. He problem then is to find the best thresholds that properly segment each image. In this paper, we suggest a multilevel thresholding algorithm using Modified Black Widow Optimization (MBWO) to find the best threshold configuration using Otsu and Kapur as objective function. As for how this algorithm functions, it uses an opposite based initialization to increase the quality of the initial population and the likelihood of starting with suitable individuals, a delay in sexual cannibalism to prevent the loss of fit fathers, and adaptive crossover and mutation probabilities to maintain a balance between exploration and exploitation.
Côte titre :	MAI/0696
En ligne :	https://drive.google.com/file/d/1K9UQEO_lM6zbhXo7fhXEydPsI-J1EiBr/view?usp=share [...]
Format de la ressource électronique :	pdf