Image processing in automated measurements of raindrop size and distribution

被引：32
作者：
Cruvinel, PE
Vieira, SR
Crestana, S
Minatel, ER
Mucheroni, ML
Neto, AT
机构：
[1] EMBRAPA Instrumentacao Agropecuaria, BR-13560970 Sao Carlos, SP, Brazil
[2] Inst Agron Campinas, BR-13100970 Campinas, SP, Brazil
[3] UFSCar, Dept Computacao, BR-13565905 Sao Carlos, SP, Brazil
来源：
COMPUTERS AND ELECTRONICS IN AGRICULTURE | 1999年 / 23卷 / 03期
基金：
巴西圣保罗研究基金会;
关键词：
raindrop measurements; correlation analysis; soil conservation;
D O I：
10.1016/S0168-1699(99)00043-5
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
A rapid method for evaluating raindrop size and size distribution has been developed. It is based on image processing with correlation analysis in the frequency domain. This technique has the advantage of being a direct measurement method that automatically identifies and counts raindrops. Calibration was carried out using a standard image with known raindrop sizes. Drop sizes, ranging from less than 0.1 to over 85 mm in diameter, have been automatically recognized and successfully measured. Error was not larger than 1.5%. In addition, practical examples of use of the method for determining characteristics of raindrops in rainfall are presented. (C) 1999 Elsevier Science B.V. All rights reserved.
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页码：205 / 217
页数：13
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