Metaheuristic Algorithms for Image Segmentation: Theory and Applications

Häftad, Engelska, 2020

AvDiego Oliva,Mohamed Abd Elaziz,Salvador Hinojosa

1 369 kr

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The images have to be accurately analyzed, and crucial pre-processing steps, like image segmentation, and artificial intelligence, including metaheuristics, are applied in the automatic analysis of digital images.

Produktinformation

Utgivningsdatum2020-08-14
Mått155 x 235 x 14 mm
Vikt376 g
FormatHäftad
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor226
FörlagSpringer Nature Switzerland AG
ISBN9783030129330

Tillhör följande kategorier

Introduction.- Optimization.- Metaheuristic optimization.- Image processing.- Image Segmentation using metaheuristics.- Multilevel thresholding for image segmentation based on metaheuristic Algorithms.- Otsu’s between class variance and the tree seed algorithm.- Image segmentation using Kapur’s entropy and a hybrid optimization algorithm.- Tsallis entropy for image thresholding.- Image segmentation with minimum cross entropy.- Fuzzy entropy approaches for image segmentation.- Image segmentation by gaussian mixture.- Image segmentation as a multiobjective optimization problem.- Clustering algorithms for image segmentation.- Contextual information in image thresholding.

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