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METHOD FOR THE AUTOMATIC GRADING OF ABALONE BASED ON IMAGE PROCESSING TECHNOLOGY

机译:基于图像处理技术的阿巴龙自动分级方法

摘要

The present invention relates to a method for automatically sorting abalones, wherein abalones having very high added value and preferred by people among shellfish can be automatically classified and sorted using an image processing device such as a vision system based on a computer and a CCD camera. More specifically, the present invention relates to a method for automatically sorting abalones using an image processing technology, comprising: photographing the front images and side images of abalones using two CCD cameras in the process of transferring the abalones using a transfer conveyor; measuring the total length (TL), body length (BL) and thickness (T) of the abalones by analyzing the corresponding images; calculating the volume of the abalones from the measured data by postulating the exterior shape of the abalones to be an oblate semiellipsoid, which is the half of a horizontally divided flat and round object; and deriving a formula for estimating the weight of the abalones using the calculated volume (Cv) and a linear regression analysis between an actual volume (Av) and a weight (W).
机译:本发明涉及一种自动分选鲍鱼的方法,其中可以使用图像处理设备,例如基于计算机和CCD照相机的视觉系统,自动对具有较高附加值并且在贝类中被人们喜欢的鲍鱼进行自动分类和分选。更具体地,本发明涉及一种使用图像处理技术对鲍鱼进行自动分选的方法,该方法包括:在使用传送带传送鲍鱼的过程中,使用两个CCD照相机拍摄鲍鱼的正面图像和侧面图像。通过分析相应的图像来测量鲍鱼的全长(TL),体长(BL)和厚度(T);通过将鲍鱼的外形假定为扁圆形的半椭圆形,即水平划分的扁平和圆形物体的一半,从测量数据中计算鲍鱼的体积;并使用计算的体积(Cv)和实际体积(Av)与重量(W)之间的线性回归分析得出用于估算鲍鱼重量的公式。

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