文献类型：期刊文献

英文题名：Nutritional Function of Food Protein and Image Object Recognition and Simulation based on Computer Vision

作者：Wang, Tingmei[1];Liu, Kun[1];Chen, Jingxia[1];Li, Aiju[1];Li, Lin[1]

第一作者：王廷梅

通讯作者：Wang, TM[1]|[114174483de58d9cd127a]王廷梅;

机构：[1]Beijing Union Univ, Coll Appl Sci & Technol, Beijing, Peoples R China

第一机构：北京联合大学应用科技学院

通讯机构：[1]Beijing Union Univ, Coll Appl Sci & Technol, Beijing, Peoples R China.|[1141775]北京联合大学应用科技学院;[11417]北京联合大学;

年份：2019

卷号：69

期号：6

起止页码：49-54

外文期刊名：ARCHIVOS LATINOAMERICANOS DE NUTRICION

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000510861400007)】；

基金：This Paper belongs to the "General project of Science and Technology Plan supported by Beijing Municipal Education Committee (NO. KM201511417010) "Research on Image Retrieval of Chinese Paintings and Calligraphies Based on Deep Learning Algorithms.

语种：英文

外文关键词：Enzymolysis protein; Amino acid nutrition; Neural network; Image recognition

摘要：Tryptophan deficiency in food will affect brain metabolism, cause nicotinic acid deficiency and lead to skin roughness disease, etc., while lysine is the first limiting amino acid of the people whose staple food is grain, which can affect the synthesis, metabolism and immunity of brain nerve regenerative cells. In this paper, the author analyzes the nutritional function of food protein and image object recognition and simulation based on computer vision.Because of the poor contrast of the original SAR image, it is necessary to use gray stretch to improve the dynamic range of the gray level of the image. In order to suppress the influence of speckle noise on target recognition, the enhancement filtering algorithm is used to denoise. The results show that the improved depth learning model is more accurate and the effect will be further improved after feature selection.The limitation of the algorithm proposed in this paper is that as the distinction between target and background decreases, the effect of the algorithm will be weakened.