Zhao Peng
Information and Computer Engineering Institute, Northeast Forestry University, Harbin, China.
Rev Sci Instrum. 2011 Aug;82(8):083703. doi: 10.1063/1.3623500.
Image motion blur and defocus blur often occur when there is a relative motion between the imaging camera and the detected object. In this paper, we propose a robust timber cell recognition scheme using the low quality color timber cell images with the above-mentioned image blurs. First, a novel two-dimensional image measurement machine is devised, to obtain the object images sequentially by using a color camera. Second, the image-moment-based blur invariant features are calculated. Third, timber cell recognition is performed by using the computed Euclidean distance based on the moment invariants. We have experimentally proved that the effective use of image blur information improves the recognition accuracy of camera-captured timber cells. Moreover, the allowed maximum translation speed of the moving gallery is also discussed theoretically and experimentally. This scheme can identify the timber species by means of the cell recognition so as to judge the physical property and economic value of different timber species correctly.
当成像相机与被检测物体之间存在相对运动时，常常会出现图像运动模糊和散焦模糊。在本文中，我们提出了一种稳健的木材细胞识别方案，该方案使用带有上述图像模糊的低质量彩色木材细胞图像。首先，设计了一种新颖的二维图像测量仪，通过彩色相机依次获取物体图像。其次，计算基于图像矩的模糊不变特征。第三，基于矩不变量，通过计算欧几里得距离来进行木材细胞识别。我们通过实验证明，有效利用图像模糊信息可提高相机拍摄的木材细胞的识别准确率。此外，还从理论和实验两方面讨论了移动图库允许的最大平移速度。该方案能够通过细胞识别来鉴定木材种类，从而正确判断不同木材种类的物理性质和经济价值。
