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Extended edge detection: Modeling, estimation, and aggregation.

机译:扩展边缘检测:建模,估计和聚合。

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摘要

xtended edge detection is the process of estimating extended curve discontinuities in the image intensity surface. As a primary module in image analysis systems, its performance is critical to subsequent processes. In the past, a variety of algorithms were developed, like the Binford-Horn operator, the Marr-Hildreth operator, the Canny operator, and the Nalwa-Binford operator. However, they did not produce extended edges with sufficient quality, thus restricting their applications.;In this dissertation, a new algorithm for estimating extended edges will be discussed. First, a generic 2-D edge model is built from the geometry of object surfaces and the physics of image formation. Then, the input image is convolved with a mask at each pixel at four orientations,
机译:扩展边缘检测是估计图像强度表面中扩展曲线不连续性的过程。作为图像分析系统的主要模块,其性能对后续过程至关重要。过去,开发了多种算法,例如Binford-Horn运算符,Marr-Hildreth运算符,Canny运算符和Nalwa-Binford运算符。然而,它们没有产生足够质量的扩展边缘,因此限制了它们的应用。本文将讨论一种新的估计扩展边缘的算法。首先,根据物体表面的几何形状和图像形成的物理原理建立通用的二维边缘模型。然后,将输入图像与遮罩在四个方向上的每个像素处卷积,

著录项

  • 作者

    Chiang, Pei-Chun.;

  • 作者单位

    Stanford University.;

  • 授予单位 Stanford University.;
  • 学科 Engineering Electronics and Electrical.;Computer Science.
  • 学位 Ph.D.
  • 年度 1998
  • 页码 90 p.
  • 总页数 90
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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