Title :
Thinning algorithm using hypergraph based morphological operators
Author :
Prakash, R.P. ; Prakash, Keerthana S. ; Binu, V.P.
Author_Institution :
Comput. Sci. & Eng., Coll. of Eng., Karunagappally, India
Abstract :
The object recognition is a complex problem in the image processing. Mathematical morphology is Shape oriented operations, that simplify image data, preserving their essential shape characteristics and eliminating irrelevancies. This paper briefly describes morphological operators using hypergraph and its applications for thinning algorithms. The morphological operators using hypergraph method is used to preventing errors and irregularities in skeleton, and is an important step recognizing line objects. The morphological operators using hypergraph such as dilation, erosion, opening, closing is a novel approach in image processing and it act as a filter remove the noise and errors in the images.
Keywords :
graph theory; image thinning; mathematical morphology; object recognition; shape recognition; dilation; erosion; hypergraph based morphological operators; hypergraph method; image data; image processing; image skeleton; line object recognition; mathematical morphology; shape characteristics; shape oriented operations; thinning algorithm; Image edge detection; Morphological operations; Morphology; Noise; Shape; Skeleton; Mathematical morphology; hypergraph; skeleton; thinning;
Conference_Titel :
Advance Computing Conference (IACC), 2015 IEEE International
Conference_Location :
Banglore
Print_ISBN :
978-1-4799-8046-8
DOI :
10.1109/IADCC.2015.7154860