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Machine learningImage enhancement

Histogrammi ekvaliseerimine

Histogrammi ekvaliseerimine on pilditöötluse eeltöötlustehnika, mis jaotab pikslite intensiivsused ümber, et parandada kontrasti ja detailide nähtavust. Pikslite väärtuste histogrammi ühtlaselt saadaolevale vahemikule jaotades parandab histogrammi ekvaliseerimine kehva kontrastiga pilte, muutes tunnused visuaalselt selgemaks ja algoritmiliselt lihtsamini töödeldavaks.

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Ainult liikmetele

Selle osa lugemiseks logi sisse tasuta kontoga.

Logi sisse

Method map

The neighbourhood of related methods — select a node to explore.

Allikad

  1. Gonzalez, R. C., & Woods, R. E. (1992). Digital Image Processing. Addison-Wesley, 2nd edition, Chapter 3. link
  2. Pizer, S. M., Amburn, E. P., Austin, J. D., et al. (1987). Adaptive histogram equalization and its variations. Computer Vision, Graphics, and Image Processing, 39(3), 355–368. DOI: 10.1016/S0734-189X(87)80186-X

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Histogram Equalization for Image Contrast Enhancement. ScholarGate. https://scholargate.app/et/computer-vision/histogram-equalization

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Sellele viitavad

ScholarGateHistogram Equalization (Histogram Equalization for Image Contrast Enhancement). Loetud 2026-06-15 aadressilt https://scholargate.app/et/computer-vision/histogram-equalization · Andmestik: https://doi.org/10.5281/zenodo.20539026