English

Thinning Algorithm Using Hypergraph Based Morphological Operators

Computer Vision and Pattern Recognition 2015-07-28 v1

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

Cite

@article{arxiv.1507.07096,
  title  = {Thinning Algorithm Using Hypergraph Based Morphological Operators},
  author = {R. P. Prakash and Keerthana S. Prakash and V. P. Binu},
  journal= {arXiv preprint arXiv:1507.07096},
  year   = {2015}
}

Comments

Advance Computing Conference (IACC), 2015 IEEE International,Banglore India

R2 v1 2026-06-22T10:18:33.562Z