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Conference material: "Proceedings of the International Conference on Computer Graphics and Vision Graphicon (19-21 September 2022, Ryazan)"
Authors: Kislitsyna T.S., Kholopov I.S.
Applying the Generalized Compass Operator for Image Dominant Orientation Estimation
Evaluation of the orientation of objects on frames from digital cameras is one of the problems of intelligent image analysis and processing. In this paper, we focus on the two-stage algorithm for image dominant orientation using first rough estimation of orientation angle through principal component analysis of gradient covariance matrix and second more accurate orientation estimation using the generalized compass operator. We compared two types masks of compass operator Prewitt-like and extended Prewitt-like for orientation estimation task. We demonstrated that for extended Prewitt-like mask with a size of 5?5 pixels using the generalized compass operator provides an estimation error of the dominant direction no more than 1 compared with methods, based on principal component analysis technique.
Image dominant orientation, generalized compass operator, Prewitt operator, gradient
Publication language: english,  pages: 7 (p. 577-583)
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About authors:
  • Kislitsyna Tatyana Sergeevna,,  Ryazan State Radio Engineering University named after V.F. Utkin
  • Kholopov Ivan Sergeevich,,  Ryazan State Radio Engineering University named after V.F. Utkin