AUTOMATED EXTRACTION OF SEED CHARACTERISTICS FOR GERMINATION DETECTION

机译：自动提取种子特性以进行萌发检测

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This paper presents a complete process of extracting seedrncharacteristics used for germination detection by usingrnimage processing related to circle detection, noisernfiltering, image segmentation, thresholding,rnmorphological operations, and object labeling.rnImplementations of these tools have been optimized tornbest fit the purpose of this system. The purpose of thernpresented system is to allow seed testing, which measuresrnthe quality of the seeds using germination detection, to bernmore rapid, objective, and simple. This is importantrnbecause planting high quality seeds have been the basisrnby which agriculture remains profitable. Every seed lotrnsold commercially has had an assessment of seed qualityrnwhich requires seeds to germinate under multiplernenvironmental conditions. This paper describes anrnapproach to automate seed analysis and reduce arnbottleneck that exists in evaluating seed germination datarnwhich would otherwise be evaluated by humans. Thernproposed procedure detects a given Petri dish, separatesrnthe background from the seeds, and computes necessaryrnseed parameters used for analysis.

机译：本文介绍了通过使用与圆检测，噪声过滤，图像分割，阈值，形态学操作和对象标记相关的图像处理来提取用于发芽检测的种子特征的完整过程。已对这些工具的实现进行了优化，以最适合该系统的目的。该系统的目的是允许种子测试更加快速，客观和简单地进行，该种子测试使用发芽检测来测量种子的质量。这很重要，因为种植优质种子一直是农业保持盈利的基础。商业上出售的每种种子都对种子质量进行了评估，这需要种子在多种环境条件下发芽。本文描述了一种自动进行种子分析并减少在评估种子发芽数据时存在的瓶颈的方法，否则该种子将被人类评估。提议的程序检测给定的培养皿，将背景与种子分离，并计算用于分析的必要种子参数。

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来源
《Proceedings of the 12th IASTED international conference on signal and image processing》|2010年|p.130-136|共7页
会议地点 Maui HI(US);Maui HI(US)
作者
Chang L. Kim; Chao Li; Amar Raheja; David W. Still;
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作者单位

Department of Computer Science, California State Polytechnic University, Pomona 3801 West Temple Avenue, Pomona, California, 91768 U.S.A. changkim@csupomona.edu;

Department of Computer Science, California State Polytechnic University, Pomona 3801 West Temple Avenue, Pomona, California, 91768 U.S.A. chaoli@csupomona.edu;

Department of Computer Science, California State Polytechnic University, Pomona 3801 West Temple Avenue, Pomona, California, 91768 U.S.A. raheja@csupomona.edu;

Department of Plant Science, California State Polytechnic University, Pomona 3801 West Temple Avenue, Pomona, California, 91768 U.S.A. dwstill@csupomona.edu;

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原文格式 PDF
正文语种 eng
中图分类信号处理;
关键词
seed germination; object detection; Hough transform; noise reduction; object labelling; image segmentation;

机译：种子发芽物体检测霍夫变换降低噪音；对象标签；图像分割;

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2. An Algorithm Based on Core Characteristic Extraction of Watermelon Seeds by Automated Separating System [J] . YONG SUN, YUN BAI, LIHONG GANG, WSEAS Transactions on Computers . 2008,第1a3期

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3. Highly automated and fast determination of raffinose family oligosaccharides in Lupinus seeds using pressurized liquid extraction and high-performance anion-exchange chromatography with pulsed amperometric detection [J] . Bansleben David, Schellenberg Ingo, Wolff Anne-Christin Journal of the Science of Food and Agriculture . 2008,第11期

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4. AUTOMATED EXTRACTION OF SEED CHARACTERISTICS FOR GERMINATION DETECTION [C] . Chang L. Kim, Chao Li, Amar Raheja, IASTED International Conference on Signal and Image Processing . 2010

机译：萌发检测的种子特征自动提取
5. The effect of seed colour and linolenic acid concentration on germination, seed vigour, seed quality and agronomic characteristics of flax. [D] . Saeidi, Ghodratollah. 1998

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AUTOMATED EXTRACTION OF SEED CHARACTERISTICS FOR GERMINATION DETECTION

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