Blog
About

  • Record: found
  • Abstract: found
  • Article: found
Is Open Access

A Novel Color Edge Detection Algorithm Based on Quaternion Hardy Filter

Preprint

Read this article at

Bookmark
      There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

      Abstract

      A study on color edge detection using the improved Di Zenzo's gradient operator associated with quaternion Hardy filter is presented. The Di Zenzo gradient operator recently achieved great attentions in edge detection, but it is sensitive to image with additive noise. The quaternion Hardy filter demonstrates its advantage in denoising image. A robust color image edge detection algorithm called Quaternion Hardy filter with the improved Di Zenzo's gradient operator, namely QHFIDZ, is presented in this paper. It preprocesses the color image to quaternion Hardy filter which reduces the noise effect and then apply the improved Di Zenzo's gradient algorithm for edge map. The proposed technique is a robust algorithm for noisy image detection comparison to other image detection techniques.

      Related collections

      Most cited references 21

      • Record: found
      • Abstract: not found
      • Article: not found

      The monogenic signal

        Bookmark
        • Record: found
        • Abstract: not found
        • Article: not found

        Hypercomplex Fourier Transforms of Color Images

          Bookmark
          • Record: found
          • Abstract: not found
          • Article: not found

          Hypercomplex signals-a novel extension of the analytic signal to the multidimensional case

           T Bülow,  G. Sommer (2001)
            Bookmark

            Author and article information

            Journal
            17 July 2018
            1807.10586

            http://arxiv.org/licenses/nonexclusive-distrib/1.0/

            Custom metadata
            cs.CV eess.IV

            Computer vision & Pattern recognition, Electrical engineering

            Comments

            Comment on this article