基于计算机视觉的油炸薯片中丙烯酰胺含量测定系统  

Determination of Acrylamide Contents in Fried Potato Chips Based on Computer Vision

作　　者：何鹏[1] 王成琳[1] 万晓青[1] 

机构地区：[1]齐齐哈尔大学通信与电子工程学院,齐齐哈尔161006

出　　处：《农业机械学报》2013年第1期119-124,共6页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家自然科学基金资助项目(61100103);黑龙江省普通高等学校青年学术骨干支持计划资助项目(1155G63);黑龙江省研究生创新项目(YJSCX2012-390HLJ)

摘　　要：设计了一套基于计算机视觉技术的油炸薯片中丙烯酰胺含量的测定系统,图像获取装置采集每隔60 s从电炸锅内取出的薯片的双面图像,采用气相色谱-质谱法测定相应薯片的丙烯酰胺含量;采用图像滤波算法、彩色图像分割算法和颜色测量算法从双面图像中提取目标薯片,测量整体薯片的L*、a*、b*平均值。数据分析表明,薯片双面a*平均值的平均值与薯片中丙烯酰胺含量之间有很强的相关性(R2=0.971),建立了两者之间的线性回归方程。采集了10个不同品牌薯片的双面图像,将获取的双面a*平均值的平均值代入方程,计算得到的丙烯酰胺含量与标准化学方法测定值之间的最大相对误差为4.94%,表明该方法可行、准确。A system of determining acrylamide contents in fried potato chips based on computer vision technology was developed. For each 60 s, the image acquisition device collected double-sided images of potato chips removed from the fryer. The acrylamide contents of the corresponding potato chips were determined by gas chromatography-mass spectrometry （GC - MS） method, meanwhile, the target potato chips of the double-sided images were extracted and L^＊ , α^＊ , b^＊ average of the overall target was measured by proposed image filtering algorithm, the color image segmentation algorithm and the color measurement algorithm, respectively. The obtained data was analyzed and a strong correlation between the average of double-sided α^＊ average and acrylamide contents of potato chips was found （R^2 = 0. 971 ） and a linear regression equation was established. Potato chips double-sided images of 10 different brands sold on the market was collected and the average of double-sided α^＊ average was put into the equation. The maximum relative error between the acrylamide contents calculated and standard chemical method was 4.94% , which indicated that the method was feasible and accurate.

关 键 词：油炸薯片 丙烯酰胺 测定系统 双面图像 计算机视觉 

分 类 号：TS217[轻工技术与工程—粮食、油脂及植物蛋白工程] S532[轻工技术与工程—食品科学与工程]