Scallop dimension calculating method based on Opencv image analysis and scallop sorting system

Abstract

The present invention discloses a scallop dimension calculating method based on Opencv image analysis. The method comprises the steps of connecting the starting points, the terminal points and the depth points of two raisings of a scallop respectively, selecting the connection line having the farthest distance with a gravity center of all the connection lines, connecting the gravity center and the middle point of the connection line to obtain a straight line, calculating the length of the line segment of the straight line intercepted by a contour to obtain the dimension of the scallop. By the above technical scheme and according to the scallop dimension calculating method based on the Opencv image analysis and a scallop sorting system provided by the present invention, the two most obvious raisings of the scallop are analyzed via video to determine the centerline of the scallop, and then the dimension of the scallop is determined according to the centerline. Compared with the conventional mechanical sorting and artificial sorting modes, the scallop dimension calculating method based on the Opencv image analysisand the scallop sorting system are high in accuracy and rapid in sorting, do not damage the scallop at all, and are very suitable for the large-scale popularization and use because of the mature technology.

Description

technical field [0001] The invention relates to a method and system for automatically sorting scallops, in particular to a method and system for sorting scallops based on video analysis. Background technique [0002] In recent years, with the continuous improvement of my country's industrial automation level, more and more enterprises and institutions use active machine vision inspection systems to replace existing manual labor, and use cameras, image acquisition cards and industrial computers to select and classify products. The rapid development of industrial automation technology has brought a high efficiency improvement to industrial production, prompting various production enterprises to apply this technology to production. Such as automatic assembly line production of auto parts, food packaging, automatic fruit classification, etc. my country is a big ocean country, and the development of the seafood production industry occupies an important position in my country's a...

AI Technical Summary

Problems solved by technology

my country is a big ocean country, and the development of the seafood production industry occupies an important position in my country's agricultural production. However, at present, many seafood breeding and production enterprises have not applied this industrial automation to production, but adopted traditional Manual operation is not only labor-intensive and inefficient, but also the result of manual operation has the disadvantage of poor objectivity

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