原木材积检测中的计算机视觉技术

原木材积的检测在林业研究及造纸工程等领域是十分重要的。本文提出了一种基于计算机视觉的新方法用于材积的 检测。首先,分析了用于检测的硬件系统。然后,给出了检测过程中的详细算法。为了提高原木横截面图像的质量,提出了基于模糊熵的图像增强算法。在许多实际应用问题中,图像中的原木横截面常常是部分不可见的,这一现象已成为材积正确检测的主要障碍。为了克服这一现象,本文提出了一种鲁棒的Hausdorff距离用以恢复完整的原木横截面。实验的结果证明了本文方法的有效性。图5参8。

Computer vision technology in log volume inspection

Log volume inspection is very important in forestry research and paper making engineering. This paper proposed a novel approach based on computer vision technology to cope with log volume inspection. The needed hardware system was analyzed and the details of the inspection algorithms were given. A fuzzy entropy based on image enhancement algorithm was presented for enhancing the image of the cross-section of log. In many practical applications the cross-section is often partially invisible, and this is the major obstacle for correct inspection. To solve this problem, a robust Hausdorff distance method was proposed to recover the whole cross-section. Experiment results showed that this method was efficient.