Research on Food Quality Inspection and Grading Technology Based on Image Processing
Addressing the issues of time-consuming and labor-intensive traditional manual inspection methods,as well as their susceptibility to subjective influences in the field of food quality inspection and grading,this paper proposes to accelerate the application of image processing technology in the detection of food surface defects and foreign bodies,maturity assessment and nutritional composition prediction.By integrating image preprocessing,feature extraction,and machine learning or deep learning models,we achieve automatic detection and classification of defects,objective quantitative assessment of food maturity,and rapid estimation of nutritional content.By studying the grading standard setting,automatic grading system design,performance evaluation and optimization of food grading technology,analyzing key technical challenges such as lighting changes,complex background processing,and large-scale data processing,corresponding solutions and strategies are proposed to improve the accuracy and practicality of image processing based food quality detection and grading technology.
万方数据
维普
