Journal Article

PreJuSER-11178

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Enhanced evaluation of image segmentation results

Marpu, P. R. ; Neubert, M. ; Herold, H. ; Niemeyer, I.FZJ*

2010
Taylor & Francis Basingstoke, Hants.

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Please use a persistent id in citations: doi:10.1080/14498596.2010.487850

Abstract: Geographic object-based image analysis (GEOBIA) is a promising methodology lot image analysis, in which images are first segmented into image segments (or objects) and then analysed based on shape, texture. context and spectral features The extra dimension of data offered by the objects yields a mole enhanced image analysis The first and most important step is thus the segmentation of images The effectiveness of the object-based image analysis depends entirely on the quality of the segmentation result There exist several types of image segmentation algorithms developed for a variety of applications ranging from medical imaging to remote sensing image analysis It is. therefore, necessary to have an evaluation measure to decide which algorithm can be better for a particular task Like segmentation itself, there is no standard way of evaluating segmentation results In this article, we provide an easy way to analyse segmentation results by defining what qualifies as under-segmentation and over-segmentation while analysing the segmentation results of user-selected reference regions The evaluation cinema are designed to handle the results of multi-level segmentation algorithms, which ale commonly used in GEOBIA

Keyword(s): J ; remote sensing (auto) ; image segmentation (auto) ; object-based image analysis (auto) ; segmentation evaluation (auto) ; parameter optimisation (auto) ; object delineation quality (auto)

Note: Record converted from VDB: 12.11.2012

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Contributing Institute(s):

1. Sicherheitsforschung und Reaktortechnik (IEF-6)

Research Program(s):

1. Nukleare Sicherheitsforschung (P14)

Appears in the scientific report 2010

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