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2011 | 70 | 4 |

Tytuł artykułu

Enhancement of the focal depth in anatomical photography

Autorzy

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Limited depth of field is one of the crucial disadvantages of macro photography because some details of the imagined object are blurred. This paper presents the benefits of using an algorithm which enhances focal depth in the close-up views of anatomical structures. The applied technique was based on combining a set of images of the same object (temporal bone) taken on different focal planes. In effect, a single image was generated which presented all details sharply across the photographed object. The extended depth of field of the composite image was reconstructed by CombineZP Image Stacking Software. (Folia Morphol 2011; 70, 4: 260–262)

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-

Czasopismo

Rocznik

Tom

70

Numer

4

Opis fizyczny

p.260-262,fig.,ref.

Twórcy

autor
  • Department of Anatomy, Collegium Medicum, Jagiellonian University, Kopernika 12, 31-034 Krakow, Poland

Bibliografia

  • 1. Bradburn S, Cathey WT, Dowski ER (1998) Applications of extended depth of focus technology to light microscope systems. www.colorado.edu/isl/papers.
  • 2. Demkowski M, Mikołajczak P (2008) Photography image enhancement by image fusion. Ann UMCS Informatica AI, 8: 43–53.
  • 3. Dowski ER, Cathey WT (1995) Extended depth of field through wave-front coding. Appl Opt, 34: 1859–1866.
  • 4. Goldsmith NT (2000) Deep focus; a digital image processing technique to produce improved focal depth in light microscopy. Image Anal Stereol, 19: 163–167.
  • 5. Leong FJ, Leong AS (2003) Digital imaging applications in anatomic pathology. Adv Anat Pathol, 10: 88–95.
  • 6. O’Brien MJ, Sotnikov AV (1996) Digital imaging in anatomic pathology. Am J Clin Pathol, 106 (4 suppl. 1): 25–32.
  • 7. Paturzo M, Ferraro P (2009) Creating an extended focus image of a tilted object in Fourier digital holography. Opt Express, 17: 20546–20552.
  • 8. Wang Z, Bovik AC, Sheikh HR, Simoncelli EP (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Processing, 13: 600–612.
  • 9. Wang Z, Ziou D, Armenakis C, Li D, Li Q (2005) A comparative analysis of image fusion methods. IEEE Trans Geosci Remote Sens, 43: 1391–1402.

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Typ dokumentu

Bibliografia

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