Device and method for detecting hatching egg incubation quality based on computer vision

Abstract

The invention relates to a device and a method for detecting hatching egg incubation quality based on computer vision, belonging to the technical field of agricultural product detection. The device comprises a CCD camera, an optical chamber, an object stage, a light source, an image acquisition card and a computer. The method comprises the following steps: adopting the CCD camera to acquire a perspective image of an egg, and then transmitting the image into the computer through the image acquisition card; processing the image to extract a color feature parameter; and discriminating whether theegg is fertilized or not according to a Bayes discrimination model for egg incubation quality. The invention detects the hatching egg incubation quality by applying a computer vision method and can reduce the labor intensity and the interferences of artificial subjective factors and obtain a more objective and accurate result. Proved by experiments, when the method is used for detecting the hatching egg incubation quality, the detection accuracy on the sixth day of a white-shell hatching egg reaches 100 percent, and the accuracy for verifying the model reaches 100 percent; the detection accuracy on the sixth day of a brown-shell hatching egg reaches 97.1 percent, and the accuracy for verifying the model reaches 100 percent.

Description

technical field [0001] The invention relates to a computer vision-based egg hatching quality detection device and method, in particular to a computer vision-based egg hatching quality detection method, belonging to the technical field of agricultural product detection. Background technique [0002] The hatching process of eggs takes about 21 days, and requires high environmental temperature and humidity conditions, which is a time-consuming and energy-consuming process. Statistics show that the hatching success rate of breeding eggs is 82%-99%, which means that a large number of breeding eggs cannot be hatched every year, and a considerable part of these unhatchable eggs is because the eggs are not fertilized. Detecting sperm-free eggs can effectively save time, space, energy and labor, which is of great significance to improving hatching efficiency. [0003] In the actual egg hatching process, the identification of egg hatching is mainly done by manual egg detection. This ...

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Problems solved by technology

Some domestic scholars have also carried out research in this area, such as Yang Xiukun's doctoral thesis "Research on Artificial Intelligence Methods in Agricultural Product Quality Inspection" in 1997, and Chen Jiajuan's article "Using Automatic detection of viability of hatching eggs with computer vision", and Yu Zhihong's article "Improved particle swarm neural network to detect viability of hatching eggs" published in "Computer Engineering and Design" Volume 28, Issue 2, carried out the hatching quality detection of eggs Research shows that their methods are roughly the same, that is, using the H component in the HSI system as a parameter for egg grading, and constructing various neural networks for grading judgments, but the accuracy of the judgment in the early stage of incubation is not high, and related patents have not been reported.

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