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A Complete Set of Pseudo-Zernike Moment Invariants by Image Shape Description

机译:通过图像形状描述的伪Zernike矩不变量的完整集合

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摘要

Orthogonal moments such as pseudo-Zernike moments have been successfully used in the field of image analysis. Conventionally, image function is mapped onto a set of orthogonal functions over the unit circle. If the origin of polar coordinate system is taken at the centroid, the rotation invariants will be easy to obtain. Based on pseudo-Zernike moments, this paper presents a new method to drive the complete rotation, scaling and translation (RST) invariants from the orthogonal projection transform (OPT). The efficiency and the robustness to different noises of the method for classification tasks are presented by comparing it with several existing methods.
机译:正交矩,例如伪Zernike矩,已经成功地用于图像分析领域。传统上,图像函数被映射到单位圆上的一组正交函数。如果极坐标系的原点位于质心,则旋转不变量将很容易获得。基于伪Zernike矩,本文提出了一种从正交投影变换(OPT)驱动完整旋转,缩放和平移(RST)不变量的新方法。通过与几种现有方法进行比较,给出了分类任务方法的效率和对不同噪声的鲁棒性。

著录项

  • 来源
  • 会议地点 Chengdu(CN)
  • 作者单位

    Department of Electronics and Communications Engineering, East China University of Science and Technology, Shanghai 200237, China;

    Department of Information and Control Engineering, Shanghai University of Electric Power, Shanghai 200090, China;

    Department of Electronics and Communications Engineering, East China University of Science and Technology, Shanghai 200237, China;

    Department of Electronics and Communications Engineering, East China University of Science and Technology, Shanghai 200237, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    RST invariants; Shape description; Completeness; Pseudo-Zernike moments;

    机译:RST不变量;形状描述;完整性;伪泽尼科矩;

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