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Machine learningMulti-scale image analysis

Nadharia ya nafasi-kiwango

Nadharia ya nafasi-kiwango, iliyoendelezwa na Witkin na Lindeberg, hutoa mfumo rasmi wa hisabati wa kuchambua picha kwa viwango vingi kwa wakati mmoja. Kwa kutibu kiwango kama mwelekeo maalum na kutumia ukungu wa Gaussian, nadharia ya nafasi-kiwango huwezesha utambuzi na uchambuzi wa vipengele kwa viwango vinavyofaa, ikitatua tatizo la msingi la 'niwango gani vinapaswa kuchambua?'

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Vyanzo

  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

Jinsi ya kunukuu ukurasa huu

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

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Imerejelewa na

ScholarGateScale-Space Theory (Scale-Space Theory and Multi-Scale Image Analysis). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/computer-vision/scale-space-theory · Seti ya data: https://doi.org/10.5281/zenodo.20539026