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Seamline determination for high resolution orthoimage mosaicking using watershed segmentation / Wang Mi in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 2 (February 2016)
[article]
Titre : Seamline determination for high resolution orthoimage mosaicking using watershed segmentation Type de document : Article/Communication Auteurs : Wang Mi, Auteur ; Yuan Shenggu, Auteur ; Pan Jun, Auteur Année de publication : 2016 Article en page(s) : pp 121 - 133 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] chemin le plus court, algorithme du
[Termes IGN] classification pixellaire
[Termes IGN] coefficient de corrélation
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] image aérienne
[Termes IGN] mosaïquage d'images
[Termes IGN] orthoimage
[Termes IGN] orthophotoplan numérique
[Termes IGN] raccord d'images
[Termes IGN] segmentation d'image
[Termes IGN] zone d'intérêtRésumé : (auteur) Image mosaicking is a process during which multiple orthoimages are combined into a single seamless composite orthoimage. One of the most difficult steps in the automatic mosaicking of orthoimages is the seamline determination. This paper presents a novel algorithm that selects seamlines based on marker-based watershed segmentation. A representative seamline is extracted at the object level and the pixel level as follows. First, a watershed segmentation is performed to obtain the objects. To avoid over-segmentation, a regional adaptive marker-based watershed segmentation is proposed. Second, the object difference estimated by the correlation coefficient of each object is calculated, and the region adjacency matrix is built. Third, a technique for minimizing the maximum object cost is adopted to determine the objects through which the seamlines pass. Finally, pixel-level optimization is performed using Dijkstra's algorithm with a binary min-heap to determine the final seamlines. The experimental results on digital aerial orthoimages in different areas demonstrate the feasibility and effectiveness of the proposed method compared with other algorithms. Numéro de notice : A2016-055 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.2.121 En ligne : https://doi.org/10.14358/PERS.82.2.121 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79656
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 2 (February 2016) . - pp 121 - 133[article]