Extending Depth-of-field by Image Fusion using Multi-objective Genetic Algorithm

ASLANTAŞ V., Kurban R.

7th IEEE International Conference on Industrial Informatics, Cardiff, Birleşik Krallık, 23 - 26 Haziran 2009, ss.331-336 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/indin.2009.5195826
  • Basıldığı Şehir: Cardiff
  • Basıldığı Ülke: Birleşik Krallık
  • Sayfa Sayıları: ss.331-336
  • Erciyes Üniversitesi Adresli: Evet

Özet

Optical imaging systems used in industrial vision applications suffer from the limited depth of field problem. Image fusion is a practical way to obtain an everywhere-in-focus image of a scene. In this paper, a spatial domain image fusion method using multi-objective genetic algorithm is proposed to obtain an optimal fused image. Experimental results conducted with industrial images show that the proposed method outperforms Laplacian Pyramid and DWT methods.