肉异物识别中肉厚度激光补偿试验系统的研制

农产品形状的不规则性严重影响用X射线成像方法检测农产品的内部品质的检测质量。针对这个问题,该文以肉为研究对象,建立了基于激光的肉厚度补偿试验系统,补偿X射线图像因厚度不同对肉产生的影响。该系统包括X射线图像采集系统、激光图像采集系统,机械传输部分、控制系统及图像处理系统等。用最小二乘法求取肉厚度补偿模型,建立激光图像与厚度补偿图像映射关系,用激光厚度补偿图像与X射线肉图像融合,基于OTSU算法(最大类间方差,automatically perform histogram shape-based image thresholding)提取出融合后的肉X射线图像中的异物。试验结果表明,这种方法能够消除厚度的变化对图像的影响,该研究为支撑为肉异物提取提供了一种准确高效的方法。

Development of experimental system of laser compensation for meat thickness in foreign matter

Inspection of internal quality through X ray imagery was substantially hindered by the irregularity of agricultural products. A laser system for thickness compensation was built to reduce the effect of uneven thickness on X ray images of meat products. This system was composed of X-ray image acquisition subsystem, laser image acquisition subsystem, mechanical driving system, controlling system and image processing system. The least square method based on the weight function was used to obtain the compensation image, and the establishment of reflection relationship between laser image and thickness mapping image. The X-ray image and laser thickness compensation image of the meat were fused. The OTSU segment algorithm was employed to extract foreign body from the fused image. The experimental results show that the method can eliminate the effects to the meat image caused by uneven thickness with high-efficiency and precision.