Utilize este identificador para referenciar este registo:
https://hdl.handle.net/10316/44981
Título: | Cross-Diffusion Systems for Image Processing: I. The Linear Case | Autor: | Araújo, Adérito Barbeiro, Sílvia Cuesta, Eduardo Durán, Angel |
Data: | 2017 | Editora: | Springer | Projeto: | info:eu-repo/grantAgreement/FCT/5876/147205/PT | Título da revista, periódico, livro ou evento: | Journal of Mathematical Imaging and Vision | Volume: | 58 | Número: | 3 | Resumo: | The use of cross-diffusion problems as mathematical models of different image processes is investigated. Here the image is represented by two real-valued functions which evolve in a coupled way, generalizing the approaches based on real and complex diffusion. The present paper is concerned with linear filtering. First, based on principles of scale invariance, a scale-space axiomatic is built. Then, some properties of linear complex diffusion are generalized, with particular emphasis on the use of one of the components of the cross-diffusion problem for edge detection. The performance of the cross-diffusion approach is analysed by numerical means in some one- and two-dimensional examples. | URI: | https://hdl.handle.net/10316/44981 | DOI: | 10.1007/s10851-017-0720-x 10.1007/s10851-017-0720-x |
Direitos: | embargoedAccess |
Aparece nas coleções: | I&D CMUC - Artigos em Revistas Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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AraujoBarbeiroCuestaDuran20171.pdf | 11.11 MB | Adobe PDF | Ver/Abrir |
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