摘要
从专利文献数据出发,以Logistic曲线模型为研究方法,实证分析图像处理领域的整体技术发展及分支技术生命周期进程。研究发现,图像分割、图像识别技术方向及生物识别应用领域处于成长期,图像增强、图像去噪、图像重建、图像融合技术方向处于技术成熟期,而图像复原、图像编码技术及通信、医疗、交通、工业及遥感应用领域已经进入技术饱和期。结合图像处理领域分支技术方向及技术生命周期进展,可为相关创新主体介入领域的方向及时机提供参考信息。
Based on patent literature data and Logistic curve model,the overall technology development and branch technology life cycle process in the field of image processing was empirically analyzed.It is found that image segmentation,image recognition technology and biometric applications are growing.Image enhancement,image denoising,image reconstruction and image fusion are in the mature stage.Image restoration,image coding and communication,medical,transportation,industrial and remote sensing applications have entered a period of technology saturation.Combined with the development of branch technology direction and technology life cycle in the field of image processing,it provides reference information for the direction and timing of related innovation subjects in the field.
作者
张玲玲
凌世婷
ZHANG Ling-ling;LING Shi-ting(Library of University of Electronic Science and Technology of China,Chengdu 611731,China)
出处
《科技和产业》
2021年第12期327-334,共8页
Science Technology and Industry