An Efficient Defocus Blur Segmentation Scheme Based on Hybrid LTP and PCNN.

Basar, Sadia; Waheed, Abdul; Ali, Mushtaq; Zahid, Saleem; Zareei, Mahdi; Biswal, Rajesh Roshan

Basar, Sadia; Waheed, Abdul; Ali, Mushtaq; Zahid, Saleem; Zareei, Mahdi; Biswal, Rajesh Roshan.

Afiliação

Basar S; Department of Information Technology, Hazara University Mansehra, Mansehra 21120, Pakistan.
Waheed A; Department of Computer Science, Abbottabad University of Science and Technology, Abbottabad 22010, Pakistan.
Ali M; Department of Computer Science, Northern University, Nowshera 24100, Pakistan.
Zahid S; School of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Korea.
Zareei M; Department of Information Technology, Hazara University Mansehra, Mansehra 21120, Pakistan.
Biswal RR; Institute of Computer Science & Information Technology, The University of Agriculture, Peshawar 25130, Pakistan.

Sensors (Basel) ; 22(7)2022 Apr 01.

Article em En | MEDLINE | ID: mdl-35408338

Assuntos

Algoritmos; Redes Neurais de Computação; Lógica Fuzzy; Movimento (Física)

Palavras-chave

EDAS; LTP; PCNN; defocus blur; in-focused region; out-of-focused region

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Redes Neurais de Computação Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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