Primitive and grain estimation using flexible magnification for a morphological texture model

  • Authors:

  • Lei Yang;Liang Li;Chie Muraki Asano;Akira Asano

  • Affiliations:

  • Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan;Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan;Department of Lifestyle Design, Yasuda Women's University, Hiroshima, Hiroshima, Japan;Graduate School of Engineering, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan

  • Venue:
  • ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
  • Year:
  • 2011

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Abstract

An improved morphological estimation method of textural elements based on the Primitive, Grain, and Point Configuration (PGPC) texture model is proposed. The PGPC texture model has shown promising applications such as noise removal, texture modification, and texture synthesis. However, the estimation is not always successful since the magnification process of the primitive to ensure the assumption that the grains are homothetic does not always fit to each image. We propose in this paper a novel estimation method introducing more flexibility into homotheticity's conventional assumption of the grains, and exploring a suitable structuring element for the homothetic magnification process of the primitive. Experimental results show that the proposed method provides more representative grains than the conventional method