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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周平,劉儉英,王巧華,文友先.雞蛋圖像檢測(cè)方法與質(zhì)量預(yù)測(cè)模型[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2007,38(11):80-83.[J]. Transactions of the Chinese Society for Agricultural Machinery,2007,38(11):80-83.