Naslov
LeArEst - The Software for Border and Area Estimation of Data Measured with Additive Error

Autori
Taler, Petar ; Hamedović, Safet ; Benšić, Mirta ; Nyarko, Emmanuel Karlo

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings ELMAR-2017 / Muštra, Mario ; Vitas, Dijana ; Zovko-Cihlar, Branka - Zagreb, 2017, 259-263

ISBN
978-953-184-230-3

Skup
59th International Symposium ELMAR-2017

Mjesto i datum
Zadar, Hrvatska, 18.09.2017. - 20.09.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
noisy image, additive error, border estimation, area estimation

Sažetak
This paper proposes a solution to the problem of estimating object dimensions from a noisy image. Image noise can be produced by the physical processes of imaging, or can be caused by the presence of some unwanted structures (e.g. soft tissue captured in X-ray images of bones). We suppose that the data are drawn from uniform distribution on the object of interest, but contaminated by an additive error having normal or Laplace distribution. The software for border estimation of an object registered in such manner has been developed, and brief description of its key functions is given. The software is able to estimate the borders of an object on a given line that intersects it, as well as to estimate its area. Its input data may be numerical data, as well as images in JPEG format.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Računarstvo

POVEZANOST RADA