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An adaptive texture segmentation approach for applications in digital photogrammetry.

机译：一种适用于数字摄影测量的自适应纹理分割方法。

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摘要

Texture plays an important role in visual information processing since texture provides useful information about shape, orientation, and depth of the objects. The human visual system utilizes texture without difficulty as one of the visual cues for image interpretation, scene analysis and object recognition. However, to extract and to analyze texture are difficult tasks in machine perception including computer vision and digital photogrammetry. The ultimate goal of digital photogrammetry is to reconstruct surfaces automatically. Surface reconstruction from raw imagery is an ill-posed problem. In order to solve the ill-posed nature of surface reconstruction, it is crucial to use information from different visual cues.;In this study, an adaptive strategy was developed by using Gabor filters in order to extract texture information and to segment images. The Gabor filters are conceived as hypothetical structures of the retinal receptive fields. Therefore, to develop a texture analysis system which resembles the performance of human visual perception is possible using the Gabor filters A scheme to select appropriate parameters of the Gabor filters without human visual inspection was proposed. The entire framework is based on the theory of human texture perception which was introduced by Julesz (1981).;Various kinds of images were used to evaluate the performance of the proposed strategy. The results show that the proposed adaptive strategy improves performance of the Gabor filters for texture extraction and segmentation.
机译：纹理在视觉信息处理中起着重要作用，因为纹理提供了有关对象的形状，方向和深度的有用信息。人类视觉系统毫不费力地利用纹理作为图像解释，场景分析和物体识别的视觉线索之一。但是，提取和分析纹理是机器感知中的艰巨任务，包括计算机视觉和数字摄影测量。数字摄影测量学的最终目标是自动重建表面。从原始图像重建表面是一个不适定的问题。为了解决表面重建的不适定性，使用来自不同视觉线索的信息至关重要。在本研究中，通过使用Gabor滤波器开发了一种自适应策略，以提取纹理信息并分割图像。 Gabor滤波器被认为是视网膜感受野的假设结构。因此，使用Gabor滤波器来开发类似于人类视觉感知性能的纹理分析系统是可能的。提出了一种方案来选择Gabor滤波器的适当参数而无需人类视觉检查。整个框架基于Julesz（1981）提出的人体纹理感知理论。各种图像用于评估所提出策略的性能。结果表明，所提出的自适应策略提高了Gabor滤波器的纹理提取和分割性能。

著录项

  • 作者

    Lee, Dong-Cheon.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Geodesy.;Computer Science.;Engineering Civil.
  • 学位 Ph.D.
  • 年度 1997
  • 页码 134 p.
  • 总页数 134
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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