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作 者:梁琨[1,2] 丁冬[1] 彭增起[3] 沈明霞[1] 林盛业 曹辉
机构地区:[1]南京农业大学工学院,江苏南京210031 [2]江苏省现代设施农业技术与装备工程实验室,江苏南京210031 [3]南京农业大学食品科技学院,江苏南京210095 [4]陕西秦宝牧业股份有限公司,陕西宝鸡721000
出 处:《食品科学》2015年第17期65-70,共6页Food Science
基 金:国家现代农业(肉牛)产业技术体系建设专项(CARS-38);中央高校基本科研业务费专项资金项目(KJQN201557);农业科技成果转化资金项目(SQ2011ECC100043);南京农业大学科研启动基金项目(RCQD13-15)
摘 要:为建立雪花牛肉大理石花纹等级评价方法,根据不同等级雪花牛肉大理石花纹图像特征及人工评级的标准,确定了影响大理石花纹的等级主要因素。本研究提出影响大理石花纹等级的几何参数特征、几何分布参数特征和统计参数特征。其中几何参数特征主要反映大理石花纹面积、周长等;几何分布特征主要反映大理石花纹图像中脂肪颗粒沉积的密度,根据脂肪颗粒沉积情况可分为大颗粒脂肪、中颗粒脂肪、小颗粒脂肪等;统计参数特征主要反映大理石花纹丰富程度以及大理石花纹分布均匀性。利用相关性分析提取影响雪花牛肉大理石花纹等级的特征参数。建立基于C4.5和CART算法的决策树模型,结果表明:对于C4.5算法建立的决策树分级模型,三级和五级大理石花纹分级预测精度分别为91.80%、92.31%,而该模型针对四级样本建立的模型无效,其结果多数误判为三级;对于CART算法建立的决策树模型同样存在这样的问题,即三级和五级大理石花纹分级预测精度高,而对四级样本分级无效。In order to establish a method to evaluate snowflakes beef marbling grades, the main factors affecting grading marbling were identified by comparing the image features with artificial rating criteria of different snowflakes beef marbling grades. This study presented the geometric feature parameters, geometric distribution feature parameters and statistical feature parameters affecting marbling grade. The geometric feature parameters mainly reflected the marbling area, perimeter and so on. The geometric distribution feature parameters mainly reflected the different deposition densities of large, medium and small fat particles in the marbling image. The statistical feature parameters mainly reflected the marbling abundance and marbling distribution uniformity. Correlation analysis between the features parameters extracted and snowflake beef marbling grades was conducted. Decision tree models were established based on C4.5 and CART algorithm, and the results showed that the prediction accuracy of three-level and five-level grades were 91.80% and 92.31%, respectively, however, the model for the four-level sample model was invalid and the misjudgment results were mostly three-level. The same problem existed in the prediction accuracy of models based on CART algorithm.
分 类 号:TS251.3[轻工技术与工程—农产品加工及贮藏工程]
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