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Seam-line determination for image mosaicking: a technique minimizing the maximum local mismatch and the global cost / J. Chon in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 1 (January - February 2010)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 65 n° 1 (January - February 2010) . - pp 86 - 92 Titre : Seam-line determination for image mosaicking: a technique minimizing the maximum local mismatch and the global cost Type de document : Article/Communication Auteurs : J. Chon, Auteur ; H. Kim, Auteur ; C. Lin, Auteur Année de publication : 2010 Article en page(s) : pp 86 - 92 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] algorithmique [Termes IGN] mosaïquage d'images [Termes IGN] recherche du chemin optimal, algorithme de Résumé : (Auteur) This paper presents a novel algorithm that selects seam-lines for mosaicking image patches. This technique uses Dijkstra’s algorithm to find a seam-line with the minimal objective function. Since a segment of seam-line with significant mismatch, even if it is short, is more visible than a lengthy one with small differences, a direct summation of the mismatch scores is inadequate. Limiting the level of the maximum difference along a seam-line should be part of the objective in the seam-line selection process. Our technique first determines this desired level of maximum difference, then applies Dijkstra’s algorithm to find the best seam-line. A quantitative measure to evaluate a seam-line is proposed. The measure is defined as the sum of a fixed number of top mismatch scores. The proposed algorithm is compared with other techniques quantitatively and visually about various types of images. Numéro de notice : A2010-231 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2009.09.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2009.09.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30425 [article]

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