Portada del libro de Multi-focal Image Segmentation, Classification and Authentication
Título del libro:

Multi-focal Image Segmentation, Classification and Authentication

A General Framework applied on Microscope Pollen Images

Editions universitaires europeennes (2017-02-20 )

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ISBN-13:

978-3-8416-7790-7

ISBN-10:
3841677908
EAN:
9783841677907
Idioma del libro:
Inglés
Notas y citas / Texto breve:
In this book, we propose a general framework for multi-focal image segmentation, classification and authentication, the methodology being demonstrated on microscope pollen images. The framework is meant to be generic and based on a brute force-like approach aimed to be efficient not only on any kind, and any number, of pollen images (regardless of the pollen type), but also on any kind of multi-focal images. All stages of the framework are designed to be used in an automatic fashion. First, the optimal focus is selected using the absolute gradient method. Then, pollen grains are extracted from microscope images, followed by the automatic segmentation of their exine. A coarse-to-fine approach ensures a smooth and accurate segmentation of both structures. Finally, feature extraction and selection are performed on pollen grains using a generalized approach and the pollen classification is tested with four classifiers: Weighted Neighbor Distance, Neural Network, Decision Tree and Random Forest. The latter method, which has shown the best and more robust classification accuracy results (above 97% for any number of pollen types), is finally used for a final authentication stage.
Editorial:
Editions universitaires europeennes
Sitio web:
http://www.editions-ue.com/
Por (autor):
François Chung, Tomás Rodríguez
Número de páginas:
76
Publicado en:
2017-02-20
Stock:
Disponible
Categoría:
Informática
Precio:
35.90 €
Palabras clave:
Image Processing, microscope, optimal focus, pollen grains, exine, pollen identification, texture analysis, active contour, feature extraction, supervised learning, image classification

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