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Machine learningMulti-scale image analysis

Teorija prostora-skala

Teorija prostora-skala, koju su razvili Witkin i Lindeberg, pruža principijelan matematički okvir za istovremenu analizu slika na više skala. Tretirajući skalu kao eksplicitnu dimenziju i koristeći Gausovo zamućenje, teorija prostora-skala omogućava detekciju i analizu karakteristika na odgovarajućim skalama, rešavajući fundamentalni problem „na kojoj skali treba da vršim analizu?“

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Izvori

  1. Lindeberg, T. (1994). Scale-space theory: A basic tool for analyzing structures at different scales. Journal of Applied Statistics, 21(2), 225–270. DOI: 10.1080/757582976
  2. Witkin, A. P. (1983). Scale-space filtering. Proceedings of the Eighth International Joint Conference on Artificial Intelligence (IJCAI), 1019–1022. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Scale-Space Theory and Multi-Scale Image Analysis. ScholarGate. https://scholargate.app/sr/computer-vision/scale-space-theory

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ScholarGateScale-Space Theory (Scale-Space Theory and Multi-Scale Image Analysis). Preuzeto 2026-06-15 sa https://scholargate.app/sr/computer-vision/scale-space-theory · Skup podataka: https://doi.org/10.5281/zenodo.20539026