Neighborhood coding for image representation and neighborhood operations

Author

de Carvalho, T.B.A. ; Sibaldo, M.A.A. ; Tenório, D.J. ; Tsang, I.R. ; Cavalcanti, G.D.C. ; Tsang, I.J.

Author_Institution

UAST, Fed. Rural Univ. of Pernambuco, Recife, Brazil

fYear

2012

fDate

14-17 Oct. 2012

Firstpage

2345

Lastpage

2349

Abstract

Neighborhood coding is a binary image representation method that has been performing successfully for a variety of applications such as features extraction for image recognition, shape descriptor, and image compression. Despite the success of this coding method, the representation lacked a formal notation. Here, we proposed a formal mathematical notation to represent any binary image into a neighborhood coding scheme. Using this representation we also introduce the concept of neighborhood operations, a procedure akin to mathematical morphology, however having a lower computational cost.

Keywords

data compression; feature extraction; image coding; image representation; mathematical morphology; vectors; binary image representation method; feature extraction; formal mathematical notation; image coding method; image compression; image recognition; mathematical morphology; neighborhood coding scheme; neighborhood operation; neighborhood vector; shape descriptor; Encoding; Image coding; Image representation; Kernel; Morphological operations; Shape; Vectors; Image representation; coding; morphological operations; neighborhood operator; set theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on

Conference_Location

Seoul

Print_ISBN

978-1-4673-1713-9

Electronic_ISBN

978-1-4673-1712-2

Type

conf

DOI

10.1109/ICSMC.2012.6378092

Filename

6378092