Image Processing of Agricultural Product Packaging Based on Intelligent Optimization Algorithm

In the stage of product development, excellent packaging design is an important link. The status of agricultural product packaging is getting higher and higher in agricultural product trading. Many merchants, including some producers and sellers of agricultural products, are trying their best to make their product packaging look more beautiful and more competitive among similar products. Image recognition technology, that is, using image acquisition device instead of human eye function, using image processing technology to get relevant information and carry out the next operation, has been applied to the inspection stage of agricultural product packaging defects. In this article, an image processing technology of agricultural product packaging based on intelligent optimization algorithm is proposed. According to its own extraction algorithm, image preprocessing, feature extraction and image classification are completed, and then the defect detection of agricultural product packaging and printing is realized. Then the detection accuracy of the two algorithms is compared and analyzed by simulation experiments. The results show that the improved intelligent optimization algorithm can improve the accuracy of defect detection of agricultural products packaging and printing, and realize nondestructive detection.