Morphological reconstruction of semantic layers in map images

Alexey Podlasov; Eugene Jevgeni Ageenko; Pasi Franti

doi:10.1117/1.2178188

1 January 2006 Morphological reconstruction of semantic layers in map images

Alexey Podlasov, Eugene Jevgeni Ageenko, Pasi Franti

Author Affiliations +

Journal of Electronic Imaging, Vol. 15, Issue 1, 013016 (January 2006). https://doi.org/10.1117/1.2178188

Abstract

Map images are composed of semantic layers depicted in arbitrary color. Color separation is often needed to divide the image into layers for storage and processing. Separation can result in severe artifacts because of the overlapping of the layers. In this work, we introduce a technique to restore the original semantic layers after the color separation. The proposed restoration technique improves compression performance of the reconstructed layers in comparison to the corrupted ones when compressed by lossless algorithms such as International Communication Unit (ITU) Group 4 (TIFF G4), Portable Network Graphics (PNG), Joint Bi-level Image experts Group (JBIG), and context tree method. The resulting technique also provides good visual quality of the reconstructed image layers, and can therefore be applied for selective layer removal/extraction in other map processing applications, e.g., area measurement.

©(2006) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Alexey Podlasov, Eugene Jevgeni Ageenko, and Pasi Franti "Morphological reconstruction of semantic layers in map images," Journal of Electronic Imaging 15(1), 013016 (1 January 2006). https://doi.org/10.1117/1.2178188

Published: 1 January 2006

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