基于光学外差扫描系统的纹理边缘提取

T. Poon, Jinwoo Park
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引用次数: 0

摘要

在许多类别的图像中,一些重要的特征可以通过大区域的重复结构来识别。这种空间特征为图像分割和分类提供了有用的信息。已经报道了各种基于局部算子操纵图像像素提取纹理信息的数字图像处理方案,通常是从图像中提取局部统计信息[1]。其他利用频域纹理信息的方案也被研究,并有一些成功的演示[2,3]。本文研究了基于带通滤波的纹理边缘检测方法。介绍了一种在外差光扫描系统中实现带通滤波器的简单方法,并进行了实验说明。第二节在纹理图像建模和频域滤波函数构建的背景下讨论了带通滤波的纹理边缘检测。第三节介绍了能够提取纹理边缘的光学扫描系统,并给出了一些实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Textural edge extraction with an optical heterodyne scanning system
In many classes of images, some of the important features can be recognized by repetitive structures over a large region. Such a spatial feature provides useful information in image segmentation and classification. Various digital image processing schemes to extract textural information have been reported based on local operators manipulating image pixels, often to extract local statistics from images [1]. Other schemes exploiting the textural information in the frequency domain have also been investigated along with some successful demonstrations [2, 3]. In this paper, textural edge detection by bandpass filtering is considered. A simple technique for realizing the bandpass filter in a heterodyne optical scanning system is described and illustrated experimentally. Section II discusses textural edge detection by bandpass filtering in the context of textural image modeling and frequency domain filter function construction. Section III describes the optical scanning system capable of extracting the edge in the texture and presents some experimental results.
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