{"title":"树木年轮面积测量的原型与算法","authors":"W. Smith","doi":"10.1145/1122018.1122065","DOIUrl":null,"url":null,"abstract":"The analysis of tree cross-sections (discs) by measuring the rings (annuli) of a disc to determine a tree's growth history is conducted frequently by foresters, botanists and ecologists. The purpose of this paper is to discuss algorithms and approaches that were used to develop a prototype for a system to automate the measurement of tree rings through image analysis. A system was developed to define the area of annuli of a disc with clearly defined boundaries and no perturbations. The area of the entire region enclosed by a ring is determined by defining a ring's perimeter using a conventional radially-sweeping contour-tracing algorithm. The area of an annuli is calculated by subtraction of the area enclosed by the adjoining inner rings. This portion of the system is O((r+1)n) for the measurement of a disc, where n=(Ymax-Ymin+1) and r = the number of rings in the disc. A flood (polygon) fill algorithm must be used to verify the center of the disc was found. Thus, the efficiency of the entire system is O(n2). The area that must be visited by the flood fill algorithm is small thus the approach is efficient. Its utility for tree ring analysis is limited due to tree discs often having indistinct boundaries and flaws. Research is being conducted on image capture, edge detection and contour tracing methods to further develop the prototype. These capabilities must be incorporated to make this system a useful tool for analyzing a normal imperfect disc.","PeriodicalId":349974,"journal":{"name":"ACM-SE 33","volume":"305 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A prototype and algorithms for tree ring area measurement\",\"authors\":\"W. Smith\",\"doi\":\"10.1145/1122018.1122065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The analysis of tree cross-sections (discs) by measuring the rings (annuli) of a disc to determine a tree's growth history is conducted frequently by foresters, botanists and ecologists. The purpose of this paper is to discuss algorithms and approaches that were used to develop a prototype for a system to automate the measurement of tree rings through image analysis. A system was developed to define the area of annuli of a disc with clearly defined boundaries and no perturbations. The area of the entire region enclosed by a ring is determined by defining a ring's perimeter using a conventional radially-sweeping contour-tracing algorithm. The area of an annuli is calculated by subtraction of the area enclosed by the adjoining inner rings. This portion of the system is O((r+1)n) for the measurement of a disc, where n=(Ymax-Ymin+1) and r = the number of rings in the disc. A flood (polygon) fill algorithm must be used to verify the center of the disc was found. Thus, the efficiency of the entire system is O(n2). The area that must be visited by the flood fill algorithm is small thus the approach is efficient. Its utility for tree ring analysis is limited due to tree discs often having indistinct boundaries and flaws. Research is being conducted on image capture, edge detection and contour tracing methods to further develop the prototype. These capabilities must be incorporated to make this system a useful tool for analyzing a normal imperfect disc.\",\"PeriodicalId\":349974,\"journal\":{\"name\":\"ACM-SE 33\",\"volume\":\"305 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM-SE 33\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1122018.1122065\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM-SE 33","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1122018.1122065","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
森林学家、植物学家和生态学家经常通过测量树木的年轮(环空)来分析树木的横截面(盘),以确定树木的生长历史。本文的目的是讨论算法和方法,这些算法和方法被用来开发一个原型系统,通过图像分析自动测量树木年轮。提出了一种确定圆盘环空面积的系统,该系统具有明确的边界和无扰动。由环包围的整个区域的面积是通过使用传统的径向扫描轮廓跟踪算法定义环的周长来确定的。环形空间的面积是通过减去相邻内环所包围的面积来计算的。对于圆盘的测量,系统的这一部分是O((r+1)n),其中n=(Ymax-Ymin+1), r =圆盘中的环数。必须使用泛流(多边形)填充算法来验证是否找到了磁盘的中心。因此,整个系统的效率为O(n2)。洪水填充算法必须访问的区域很小,因此该方法是有效的。由于树盘通常具有模糊的边界和缺陷,因此它对树木年轮分析的效用受到限制。目前正在对图像捕获、边缘检测和轮廓跟踪方法进行研究,以进一步开发原型。这些功能必须结合起来,使该系统成为分析正常不完美光盘的有用工具。
A prototype and algorithms for tree ring area measurement
The analysis of tree cross-sections (discs) by measuring the rings (annuli) of a disc to determine a tree's growth history is conducted frequently by foresters, botanists and ecologists. The purpose of this paper is to discuss algorithms and approaches that were used to develop a prototype for a system to automate the measurement of tree rings through image analysis. A system was developed to define the area of annuli of a disc with clearly defined boundaries and no perturbations. The area of the entire region enclosed by a ring is determined by defining a ring's perimeter using a conventional radially-sweeping contour-tracing algorithm. The area of an annuli is calculated by subtraction of the area enclosed by the adjoining inner rings. This portion of the system is O((r+1)n) for the measurement of a disc, where n=(Ymax-Ymin+1) and r = the number of rings in the disc. A flood (polygon) fill algorithm must be used to verify the center of the disc was found. Thus, the efficiency of the entire system is O(n2). The area that must be visited by the flood fill algorithm is small thus the approach is efficient. Its utility for tree ring analysis is limited due to tree discs often having indistinct boundaries and flaws. Research is being conducted on image capture, edge detection and contour tracing methods to further develop the prototype. These capabilities must be incorporated to make this system a useful tool for analyzing a normal imperfect disc.