图像识别技术在树木年轮学研究中具有重要的地位和实用价值。在了解树轮图像分析技术发展历程的基础上,介绍了图像处理新技术在树木年轮分析中的应用,综述了国内外的研究进展。从研究区域、思路与方法、应用领域等方面详细综述了国内最新的研究进展。概述了研究存在的问题及未来的展望。结论表明,图像识别技术能够取代树轮实验分析中常规的人工操作,可以大幅度提高实验分析的自动化程度、量测的精准度以及工作效率。虽然图像识别技术在树木年轮实验分析中仍处在起步阶段,但是其超强的技术优势和发展前景已经显现。
The application and development of image recognition to the tree-ring research has both important value and practical significance. In this study, the new techniques of image processing were described on the basis of understanding its development course, and major advances in the subject over the world were reviewed. Many latest national progresses were reviewed emphatically on aspects of studying regions,approaches and methodologies, and applications. Inadequate aspects and prospects of image recognition studies in dendrochronology were also summarized. It was clear that the degree of automation, efficiency and measuring precision were impressively improved as the traditional manual operation was substituted by image processing and pattern recognition technology in tree- ring researches. Although the application of image recognition in dendrochronology is at its start stage, it will have obvious technical advantages and a wide prospect in the future.