Mоlimо vаs kоristitе оvај idеntifikаtоr zа citirаnjе ili оvај link dо оvе stаvkе:
https://open.uns.ac.rs/handle/123456789/3532
Nаziv: | Gradient and graph cuts based method for multi-level discrete tomography | Аutоri: | Lukić, Luka Marčeta, Marina |
Dаtum izdаvаnjа: | 1-јан-2017 | Čаsоpis: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Sažetak: | © Springer International Publishing AG 2017. In this paper, we are proposing a new energy-minimization reconstruction method for the multi gray level discrete tomography. The proposed reconstruction approach combines a gradient based algorithm with the graph cuts optimization. This new technique is able to reconstruct images that consist of an arbitrary number of gray levels. We present the experimental evaluation of the new method, where we compare its performance with performance of the already suggested methods for multi-level discrete tomography. The obtained experimental results give an advantage to the proposed approach, especially regarding the quality of the reconstructed test images. | URI: | https://open.uns.ac.rs/handle/123456789/3532 | ISBN: | 9783319591070 | ISSN: | 3029743 | DOI: | 10.1007/978-3-319-59108-7_25 |
Nаlаzi sе u kоlеkciјаmа: | FTN Publikacije/Publications |
Prikаzаti cеlоkupаn zаpis stаvki
SCOPUSTM
Nаvоđеnjа
2
prоvеrеnо 10.05.2024.
Prеglеd/i stаnicа
14
Prоtеklа nеdеljа
6
6
Prоtеkli mеsеc
1
1
prоvеrеnо 10.05.2024.
Google ScholarTM
Prоvеritе
Аlt mеtrikа
Stаvkе nа DSpace-u su zаštićеnе аutоrskim prаvimа, sа svim prаvimа zаdržаnim, оsim аkо nije drugačije naznačeno.