OBJEKTIVNA PROCENA SUBJEKTIVNOG KVALITETA RADIOGRAFSKIH SNIMAKA
Ključne reči:
objektivna procena šuma, objektivna procena kontrasta, objektivna procena oštrine, obrada medicinske slike
Apstrakt
Objektivna evaluacija faktora koji utiču na kvalitet radiografskih snimaka pruža mogućnost optimizacije algoritama obrade u pravcu dostizanja kvaliteta slike koji zahtevaju radiolozi. U ovom radu predložene su mere količine šuma, kontrasta i oštrine, dizajnirane tako da se njihova procena što više poklapa sa subjektivnim ocenama koje su dali radiolozi.
Reference
[1] V. Ostojić, Đ. Starčević, V. Petrović, “Recursive anisotropic diffusion denoising,” Electronics Letters, vol. 52, no. 17, pp. 1449–1451, 2016.
[2] P. Irrera, I. Bloch, M. Delplanque, “A flexible based approach for combined denoising and contrast enhancement of digital X-ray images”, Medical Image Analysis, Elsevier, vol. 28, pp. 33-45, 2016.
[3] P. Sprawls, “ Physical principles of medical imaging”, 2nd ed., Gaithersburg, Aspen Publishers, 1993.
[4] W. Birkfellner, “Applied Medical Image Processing”, 2nd ed., Boca Raton, FL, Taylor & Francis, 2014.
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[6] T. N. Pappas, R. J. Safranek, “Perceptual criteria for image quality evaluation”, Handbook of Image and Video Processing, pp. 669-684, Academic Press, 2000.
[7] M. K. Mandal, “The Human Visual System and Perception”, Multimedia Signals and Systems, The Springer International Series in Engineering and Computer Science, vol. 716, pp. 33-56, Boston, MA, 2003.
[8] R. Schaetzing, “Agfa’s musica2 taking image processing to the next level”, AGFA Health Care, Tech. Rep., 2007.
[9] V. Ostojić, “Integrisana multiveličinska obrada radiografskih snimaka,” Doktorska disertacija, Fakultet tehničkih nauka, Univerzitet u Novom Sadu, Novi Sad, Srbija, 2018.
[10] Y. Dodge, “The Concise Encyclopedia of Statistics”, New York, Springer, 2008.
[2] P. Irrera, I. Bloch, M. Delplanque, “A flexible based approach for combined denoising and contrast enhancement of digital X-ray images”, Medical Image Analysis, Elsevier, vol. 28, pp. 33-45, 2016.
[3] P. Sprawls, “ Physical principles of medical imaging”, 2nd ed., Gaithersburg, Aspen Publishers, 1993.
[4] W. Birkfellner, “Applied Medical Image Processing”, 2nd ed., Boca Raton, FL, Taylor & Francis, 2014.
[5] W. Huda, R. B, Abrahams, “X-Ray-Based Medical Imaging and Resolution”, American Journal of Roentgenology, vol. 204, no. 4, pp. 393-397, 2015.
[6] T. N. Pappas, R. J. Safranek, “Perceptual criteria for image quality evaluation”, Handbook of Image and Video Processing, pp. 669-684, Academic Press, 2000.
[7] M. K. Mandal, “The Human Visual System and Perception”, Multimedia Signals and Systems, The Springer International Series in Engineering and Computer Science, vol. 716, pp. 33-56, Boston, MA, 2003.
[8] R. Schaetzing, “Agfa’s musica2 taking image processing to the next level”, AGFA Health Care, Tech. Rep., 2007.
[9] V. Ostojić, “Integrisana multiveličinska obrada radiografskih snimaka,” Doktorska disertacija, Fakultet tehničkih nauka, Univerzitet u Novom Sadu, Novi Sad, Srbija, 2018.
[10] Y. Dodge, “The Concise Encyclopedia of Statistics”, New York, Springer, 2008.
Objavljeno
2020-12-25
Sekcija
Elektrotehničko i računarsko inženjerstvo
