Study on Mass and Thickness Measurement of Chicken Meat Using X-Ray Image

Abstract

The mass and thickness measurement of chicken meat were investigated using X-ray image in the paper. The relation model between pixel value of X-ray image and thickness of chicken breast was established using the exponential fitting and the exponential fitting equation is y = 2610.2e-0.0283x. The relation model between pixel value of X-ray image and average mass of chicken breast was established using the exponential fitting and the exponential fitting equation is y =0.3575e-0.0308x. The experimental results showed that the modeling regression coefficient and predicted regression coefficient for thickness measurement were 0.9604 and 0.976, respectively. The modeling regression coefficient and predicted regression coefficient for mass measurement were 0.844 and 0.881, respectively.

In Vivo Prediction of Breast Muscle Weight in Broiler Chickens Using X-ray Images Based on Deep Learning and Machine Learning

“…It is often employed for assessing the physiological condition of animal organisms [16][17][18][19]. In addition, many phenotypic traits of most organisms can also be measured or analyzed from X-ray images [20][21][22]. However, the level of automation in the aforementioned studies remains relatively low, as they still require human intervention for image analysis.…”