Articoli correlati a Metaheuristics for unsupervised classification: Application...

Metaheuristics for unsupervised classification: Application to remote sensing image segmentation - Brossura

Hocini, Lotfi

 
9786203594188: Metaheuristics for unsupervised classification: Application to remote sensing image segmentation
Brossura
ISBN 10: 6203594180 ISBN 13: 9786203594188
Casa editrice: Our Knowledge Publishing, 2021

Sinossi

In this work, we have approached the image segmentation problem by means of metaheuristics, which have proven to be very efficient in providing good approximate solutions to various optimization problems. The first step was to reformulate the segmentation problem into a single-objective optimization problem, in a first step, and a multi-objective one, in a second step. The second step consisted in the extraction of the spectral and textural information of the image. The extraction of the textural information was done using co-occurrence matrices. An equiprobable requantization has been done beforehand in order to reduce the computation time. For the spectral information, we considered the mean and the variance of the gray levels on the image.

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Editore
Our Knowledge Publishing
Data di pubblicazione
2021
Lingua
Inglese
ISBN 10 
6203594180
ISBN 13 
9786203594188
Rilegatura
Copertina flessibile
Numero di pagine
92
Contatto del produttore
non disponibile
Persona responsabile
non disponibile