Tensor Voting with Steerable Filters

Tool to do fast perceptual grouping on 2D images by tensor voting

Al momento, stai seguendo questo contributo

Tensor voting is a framework for feature inference in images, based on perceptual principles. This tool implements a steerable filter formulation for 2D dense Tensor Voting. It serves as complimentary material to the following literature review on the framework:
"Perceptual grouping by tensor voting: a comparative survey of recent approaches". E Maggiori, HL Manterola, M del fresno. To be published in IET Computer Vision.

In particular, this tool implements a tensor voting reformulation which runs extremely fast compared to previous work. This formulation was presented in:

"An efficient method for tensor voting using steerable filters", Franken et. al. ECCV 2006.

Cita come

Emmanuel Maggiori (2026). Tensor Voting with Steerable Filters (https://it.mathworks.com/matlabcentral/fileexchange/47398-tensor-voting-with-steerable-filters), MATLAB Central File Exchange. Recuperato .

Informazioni generali

Compatibilità della release di MATLAB

  • Compatibile con qualsiasi release

Compatibilità della piattaforma

  • Windows
  • macOS
  • Linux
Versione Pubblicato Note della release Action
1.0.0.0