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Multiple-filtering-process for the edge detection of high-dynamic-range images.

机译：用于高动态范围图像边缘检测的多重滤波过程。

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摘要

Edge detection is a basic image processing operation usually used in the first stage of the complex image processing systems, such as restoration, and its quality has a direct effect on the performance of the systems. The extraction of correct edges from a noise-contaminated image or an image with severe deformation is a challenging task. The objective of the work of this thesis is to develop an edge detection method to extract effectively edge signals from the images with the edge information seriously damaged while being acquired in high dynamic range (HDR) scenes.;To achieve the objective, an edge detection method based on a multiple-high-pass-filtering process scheme has been proposed. Each of the filtering processes is designed to suit one of the signal deformation conditions, and is applied to the entire input image, instead of the designated regions, in order to spare the computation of image segmentation. A fusion process is then performed to merge the gradient maps generated by the multiple filtering processes into one. A detection procedure has been designed for a typical case of HDR images acquired with three different kinds of deformations due to the non-ideal characteristics of acquisition device. Based on the study of the characteristics, three high-pass filtering processes are designed to generate gradient signals with different modulations. A simple selection algorithm is developed for an easy fusion process. The results of the simulation with different types of HDR images have shown that, compared to some of most commonly used detection processes, the proposed one leads to a better quality of edge signals from severely deformed HDR images.
机译：边缘检测是通常在复杂图像处理系统的第一阶段（例如恢复）中使用的基本图像处理操作，其质量直接影响系统的性能。从受噪声污染的图像或具有严重变形的图像中提取正确的边缘是一项艰巨的任务。本文工作的目的是开发一种边缘检测方法，从高动态范围（HDR）场景中获取边缘信息严重受损的图像中，有效地提取边缘信号。提出了一种基于多重高通滤波的处理方案。每个滤波过程都被设计为适合信号变形条件之一，并应用于整个输入图像，而不是指定区域，以节省图像分割的计算时间。然后执行融合过程以将由多个滤波过程生成的梯度图合并为一个。由于采集设备的非理想特性，针对具有三种不同变形的HDR图像的典型情况设计了一种检测程序。基于对特性的研究，设计了三种高通滤波过程以生成具有不同调制的梯度信号。开发了一种简单的选择算法以实现轻松的融合过程。使用不同类型的HDR图像进行仿真的结果表明，与某些最常用的检测过程相比，所提出的一种方法可导致来自严重变形的HDR图像的边缘信号质量更高。

著录项

  • 作者

    Li, Jing.;

  • 作者单位

    Concordia University (Canada).;

  • 授予单位 Concordia University (Canada).;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.A.Sc.
  • 年度 2009
  • 页码 67 p.
  • 总页数 67
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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