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首页> 外文期刊>日本畜産学会報 >Investigation of objective evaluation method for meat firmness by computer image analysis of Holstein steers
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Investigation of objective evaluation method for meat firmness by computer image analysis of Holstein steers

机译:用荷斯坦ste牛的计算机图像分析方法对肉的硬度进行客观评价的方法研究

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The firmness of meat is deeply related to the quality and palatability of the meat, and has a large economic impact. However, it is difficult to perform a stable subjective evaluation of meat firmness because there is no objective standard model for judging. The purpose of this study was to investigate the objective evaluation method for meat firmness by using computer image analysis. Generally, the evaluation of the meat firmness is visually graded into 5 scores (1 : poor-5 : fairly good). In this study, the meat firmness was minutely evaluated into 15 scores by the expert grader of the meat quality evaluation for 51 Holstein steers. The digital images of the carcass cross section were taken between the 6th and 7th ribs by the mirror-type photographing equipment, and the macro images of M. trapezius at the 6th and 7th ribs were taken with the digital camera attached with an ultra macroscopic lens. Using the digital images of carcass cross section, the ratio of marbling area to rib eye area (FATPER) as well as traits for marbling particles were obtained by image analysis. Also, in this study, the boundary division between muscle bundles on the zoom image of M. trapezius, was determined as a muscle bundle gap. The ratio of gap of the muscle bundlesoccupied in the object region of 3008 X 2000 pixels (GAPPER) and traits for the gap of the muscle bundles were also calculated for the macro images of M. trapezius. The correlation coefficient between detailed evaluation score of the meat firmness and FATPER was highly significant (r = 0.73, P < 0.01). On the other hand, the correlation coefficient between GAPPER and the detailed evaluation score for the meat firmness was —0.75 {P < 0.01). Multiple regression analysis was conducted in order to evaluate the firmness of the meat by objective image analysis variables. Selected variables of the multiple regression equation were GAPPER with the negative regression and FATPER with the positive regression ( R~2 = 0.71, P< 0.01). Results of this study showedthat the meat firmness was highly related to the condition of the muscle bundles and the possibility of the objective evaluation by means of image analysis for the meat firmness.
机译:肉的硬度与肉的质量和适口性密切相关,并具有很大的经济影响。但是,由于没有客观的判断标准模型,因此很难对肉的硬度进行稳定的主观评价。这项研究的目的是通过计算机图像分析来研究肉类硬度的客观评估方法。通常,肉的硬度评估在视觉上分为5分(1:差5:相当好)。在这项研究中,专家对51头荷斯坦stein牛的肉质进行了评分,将肉的紧实度细致地评估为15分。用镜式照相设备在第6和第7肋骨之间采集the体横截面的数字图像,并用装有超宏观镜的数码相机拍摄第6和第7肋骨斜方肌的宏观图像。 。使用car体横截面的数字图像,通过图像分析获得了大理石花纹面积与肋眼面积的比率(FATPER)以及大理石花纹颗粒的特征。同样,在这项研究中,斜方肌缩放图像上的肌肉束之间的边界划分被确定为肌肉束间隙。对于斜方肌的宏观图像,还计算了在3008 X 2000像素(GAPPER)的对象区域中占据的肌肉束间隙的比率和肌肉束间隙的特征。肉的硬度的详细评估得分与FATPER之间的相关系数非常显着(r = 0.73,P <0.01)。另一方面,GAPPER与肉的硬度的详细评估得分之间的相关系数为-0.75(P <0.01)。为了通过客观图像分析变量评估肉的硬度,进行了多元回归分析。多元回归方程选择的变量为负回归的GAPPER和正回归的FATPER(R〜2 = 0.71,P <0.01)。研究结果表明,肉的硬度与肌肉束的状况以及通过图像分析进行肉硬度的客观评估的可能性高度相关。

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