鸡蛋图像检测方法与质量预测模型
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    摘要:

    首先利用牛顿二分法快速识别鸡蛋图像边缘信息;然后通过边缘信息简化图像区域面积像素和公式及图像形心坐标公式,提出自动确定长轴的方法;最后建立了鸡蛋蛋形指数和质量的预测模型。验证结果表明,边缘检测效率提高了大约20倍;实际蛋形指数与预测指数的相关程度达到0.9523;通过图像面积像素和与图像旋转体积像素和所预测的质量与实际质量的相关性达到

    Abstract:

    0.9806。 The paper provided a fast method to distinguish the edge information from the egg image based on Newton Dichotomy. With the information, the author gave the new brief formulas to calculate the image element sum of the target area and the coordinate of egg figure center, as well as proposed a method for auto-search for the longest axis. A model for forecasting the relation between egg weight and its shape index was established. The results showed that the edge identification efficient was increased about 20 times via the new method, the real shape index and forecasting shape index of egg reached a correlation degree of 0.9523, and the real weight and the estimate weight of egg reached a correlation degree of 0.9806.

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引用本文

周平,刘俭英,王巧华,文友先.鸡蛋图像检测方法与质量预测模型[J].农业机械学报,2007,38(11):80-83.[J]. Transactions of the Chinese Society for Agricultural Machinery,2007,38(11):80-83

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