Generating Suitable Basic Functions Used in Image Reconstruction by F-Transform | Zendy

Pavel Vlašánek | Zendy

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Generating Suitable Basic Functions Used in Image Reconstruction by F-Transform

Author(s) -

Pavel Vlašánek

Publication year - 2013

Publication title -

advances in fuzzy systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.38

H-Index - 19

eISSN - 1687-711X

pISSN - 1687-7101

DOI - 10.1155/2013/593694

Subject(s) - scratch , computer science , set (abstract data type) , image (mathematics) , process (computing) , function (biology) , artificial intelligence , iterative reconstruction , radius , computer vision , algorithm , computer security , evolutionary biology , biology , programming language , operating system

Image reconstruction technique based on F-transform uses clearly defined basic functions. These functions have strong impact on the quality of reconstruction. We can use some predefined shape and radius, but also we can create a new one from the scratch. The aim of this paper is to analyze the creating process and based on that find best basic function for input set of damaged testing images

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