关键词: 鸡蛋, 光电检测, 热成像, 图像处理, 种蛋活性

Abstract:

High hatchery yields are achieved in chicken egg incubation， however， research on the detection of dead embryos and infertile eggs at different incubation time is scarce. During the early incubation period， due to the weak embryo activity and low heat production， thermal imaging detection struggles to effectively differentiate live embryos from dead embryos and infertile eggs； from the middle to later stages of incubation， as live embryos become more developed， light cannot penetrate through the eggs， rendering optical detection methods ineffective in distinguishing dead embryos. To address these issues， optical detection and thermal imaging detection was combinated to identify dead embryos and infertile eggs during the early （6 to 12 d ） and mid-incubation periods （15 to 18 d）. Changes in light transmission of eggs during 6 to 12 d were captured using a photoelectric sensor， and feature parameters were extracted. Additionally， thermal images of eggs’ natural cooling temperature drop sequences during 15 to 18 d were collected using custom-developed software. After obtaining region of interest templates after image processing， the sequence of thermal images was segmented， and the grayscale mean change curves of egg regions were derived. Feature parameters reflecting egg viability were extracted， and detection models for different incubation time points were established using logistic regression （LR）， K-nearest neighbors （KNN）， support vector machine （SVM）， decision tree （DT）， naive Bayes （NB） and random forest （RF） algorithms. Results indicated that KNN performed best in distinguishing egg viability from 6 to 12 d， with an accuracy of 98.7% on 10 d. LR demonstrated the most stable performance across all days， achieving an accuracy of 94% in distinguishing egg viability from 6 to 12 d. SVM performed best in distinguishing egg viability from 15 to 18 d， with an accuracy of 97.1% at 18 d. Utilizing optical detection to detect changes in light transmission during the early incubation period and thermal imaging technology to analyze grayscale mean temperature changes of eggs during the mid-incubation period enabled batch detection of egg viability in different stages of incubation for White Leghorn chicken eggs.

Key words: eggs, photoelectric detection, thermal imaging, image processing, fertility of hatching eggs