University Sétif 1 FERHAT ABBAS Faculty of Sciences
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Auteur Hocine Seif Eddine Lakhal |
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A Modified Black Widow Optimization Algorithm for Multilevel Thresholding Image Segmentation / Hocine Seif Eddine Lakhal
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 algorithmsIndex. 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 : 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 algorithmsIndex. 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 : Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité MAI/0696 MAI/0696 Mémoire Bibliothéque des sciences Anglais Disponible
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