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Multimedia Systems
Erschienen in: Multimedia Systems 1/2017

04.02.2015 | Special Issue Paper

Image feature detection algorithm based on the spread of Hessian source

verfasst von: Zhu Shunzhi, Liu Lizhao, Chen Si

Erschienen in: Multimedia Systems | Ausgabe 1/2017

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Abstract

Image feature detection can be obtained from many methods including the feature point detection. This paper adopts the image feature point detection method based on second-order characteristics of point and the image feature detection algorithm based on the Hessian matrix to detect more feature points. By combining the gray-scale-based image-matching technology with the feature-based image feature detection technology, we propose a Hessian algorithm to obtain more matching points, which can search for matching more quickly. The proposed algorithm overcomes the traditional matching methods that have Ergodic properties of the search strategy. Experiments demonstrate the speed and accuracy of the proposed algorithm, and we use the correct detected feature points to realize image registration, image fusion and image stitching.
Vorheriger Artikel Semantic classification for hyperspectral image by integrating distance measurement and relevance vector machine
Nächster Artikel Vehicle collision risk estimation based on RGB-D camera for urban road

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Metadaten
Titel
Image feature detection algorithm based on the spread of Hessian source
verfasst von
Zhu Shunzhi
Liu Lizhao
Chen Si
Publikationsdatum
04.02.2015
Verlag
Springer Berlin Heidelberg
Erschienen in
Multimedia Systems / Ausgabe 1/2017
Print ISSN: 0942-4962
Elektronische ISSN: 1432-1882
DOI
https://doi.org/10.1007/s00530-015-0453-x

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