3-D signal processing in a computer vision system (hardwood logs inspection)

IEEE 1991 International Conference on Systems Engineering Pub Date : 1900-01-01 DOI:10.1109/ICSYSE.1991.161175

D. Zhu, R. Conners, P. Araman

引用次数: 8

Abstract

The problem of three-dimensional image filtering in a computer vision system that would locate and identify internal structural failure is discussed. In particular, a two-dimensional adaptive filter has been extended to three-dimensions. In conjunction with segmentation and labeling, the filter has been used in the computer vision system to successfully detect potential internal defects in hardwood logs. The issue of efficient computerized tomography (CT) image filtering for suppressing unwanted detail, such as the annual rings, in the CT images of hardwood logs is addressed. By incorporating the three-dimensional correlation information among image pixels, an improved three-dimensional adaptive algorithm for image filtering is presented. Analysis and experiments demonstrate its filtering performance.<>

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计算机视觉系统中的三维信号处理(硬木原木检测)

讨论了计算机视觉系统中结构内部故障定位与识别的三维图像滤波问题。特别地，二维自适应滤波器已扩展到三维。与分割和标记相结合，该滤波器已在计算机视觉系统中成功地检测出硬木原木的潜在内部缺陷。有效的计算机断层扫描(CT)图像滤波的问题，以抑制不需要的细节，如年轮，在硬木原木的CT图像解决。通过结合图像像素间的三维相关信息，提出了一种改进的图像滤波三维自适应算法。分析和实验证明了其滤波性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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IEEE 1991 International Conference on Systems Engineering

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