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作 者:陈远祝 禹谢华 CHEN Yuanzhu;YU Xiehua(Minnan University of Science and Technology,School of Computer Information,Nan'an,362300,China;Key Laboratory of Big Data and Artificial Intelligence in Fujian Province,Quanzhou 362332,China)
机构地区:[1]闽南科技学院计算机信息学院,福建南安362300 [2]大数据与人工智能福建省高校重点实验室,福建泉州362332
出 处:《昭通学院学报》2024年第5期76-82,共7页Journal of Zhaotong University
基 金:福建地区校级科研团队项目“计算机科学与技术科研团队”(MKKYTD202302)。
摘 要:随着科学技术的发展,计算机图像识别技术得到广泛应用。作为一种人工智能技术手段,计算机图像识别技术在智能化特征提取、图像分析及智能监测中发挥着重要作用。通过分析图像识别技术的研究背景、传统图像识别技术、人工智能算法及其应用必要性,体现了计算机图像识别技术的优势及不足之处,之后结合计算机图像识别技术在故障识别、养殖业、农业生产、水利行业、电力系统等领域的具体应用,提出了适合各类场景的图像识别技术,也为后续智能化计算机图像识别技术发展指明了新的方向。With the development of science and technology,computer image recognition technology has been widely applied.As an artificial intelligence technology,computer image recognition technology plays an important role in intelligent feature extraction,image analysis,and intelligent monitoring.By analyzing the research background of image recognition technology,traditional image recognition technology,artificial intelligence algorithms and their necessity of application,the advantages and disadvantages of computer image recognition technology are reflected.Then,combined with the specific applications of computer image recognition technology in fault recognition,aquaculture,agricultural production,water conservancy industry,power system and other fields,image recognition technology suitable for various scenarios is proposed,It also points out a new direction for the development of intelligent computer image recognition technology in the future.
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