Filling gaps in the Hough-transform voting locus for N-dimensional parameter spaces

The γ–ω hough transform: Linearizing vot

The γ–ω hough transform: Linearizing voting curves in an unbiased ϱ–θ parameter space

✍ Toshikazu Wada; Takahiro Fujii; Takashi Matsuyama 📂 Article 📅 1993 🏛 John Wiley and Sons 🌐 English ⚖ 872 KB

## Abstract The Hough transform is an effective method for detecting figure elements in images corrupted by noise. Voting on the feature points in the image space is performed in the parameter space, after which the points in the parameter space with many votes are focused on in order to detect the