期刊文献+

基于边缘和纹理结构实现叶片识别的应用研究 被引量:1

An application research of leaf blade identification based on edge and texture
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摘要 植物野外实习教学系统的主要功能是通过计算机图像处理技术对叶片边缘与纹理结构进行分析,自动提取叶片信息,确定叶片相关的理论知识.从图像预处理、叶片区域定位分割和叶片识别三方面实现植物野外实习教学系统的叶片识别模块,采用边缘和纹理结构实现叶片的定位分割与识别.实验结果表明,该方法能有效地识别出叶片并归类. The main function of plant field practice teaching system is to analysis leaf blade edge and texture through the computer image processing technology, extract information of leaf blade automatically and then determine the correlative theoretical knowledge of it. Achieve the function through image preprocessing, regional positioning segmentation of leaf blade and leaf identification three parts, it achieved regional positioning segmentation and identification of leaf blade through leaf blade edge and texture. The experimental results show that this method can identify and categorize the leaf blade effectively.
出处 《高师理科学刊》 2012年第4期46-49,共4页 Journal of Science of Teachers'College and University
基金 齐齐哈尔大学教育科学研究项目(2010123)
关键词 边缘与纹理结构 叶片识别 图像预处理 edge and texture leaf blade identification image preprocessing
作者简介 李大辉(1968-),男,黑龙江齐齐哈尔人,教授。博士,主要从事计算机图像、信号处理及应用研究.E-mail:lidahuil968@yahoo.cn
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参考文献4

  • 1高守传,姚领田.Visualc++~数字图像处理与工程应用篇[M].北京:中国铁道出版社,2002:20.
  • 2Rosenfeld, Kak A C. Digital Picture Processing[M]. New York: Academic Press, 2007:133-170.
  • 3王昱,赵正校,杨硕.基于直线边缘识别的图象区域定位算法[J].计算机工程,1999,25(9):61-62. 被引量:21
  • 4Shi Huihan. On the Diferent Processing of Wholes and Parts A Psychophysiology Analysis[J]. Journal of Cognitive Neuroscience, 2008, 9 ( 5 ): 680-697.

二级参考文献1

  • 1Li H,Fast Hough Trans form A Hierachical Approach CVGIP,1986年,36卷,139页

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  • 1CHAKI J, PAREKH IL Plant leaf recognition using shape based features and neural network classifiers [J]. International Journal of Advanced Computer Science and Applications, 2011,10 ( 2 ) :41 - 47.
  • 2SILVA N R D, FLORINDO J B, GOMEZ M C, et al. Plant identification based on leaf midrib cross - section images using fractal descriptors[J]. PLoS One, 2015, 10 (6): e0130014.
  • 3MILANIE T. A foliar morphometric approach to the study of salicaceae [ J ]. The Botanical Review,2000,6 ( 3 ) :423 - 429.
  • 4MZOUGHI O, YAHIAOUI I, BOUJEMAA N, et al. Semantic- based automatic structuring of leaf images for advanced plant species identification [ J ]. Multimedia Tools and Applications, 2016, 75 (3) :1615 -1646.
  • 5CHARLES M, JAMES C, JAMES O. Plant leaf classification usingprobabilistic integration of shape, texture and margin features [ R/ OL] . [2015 - 09 - 28 ] . DOI: 10.2316/P. 2013.798 - 098. http://www, actapress, comJPaperInfo, aspx? paperId :455022.
  • 6SUMATHI C S, KUMAR A V S. Neural network based plant identification using leaf characteristics fusion [ J ]. International Journal of Computer Applications ,2014,89 (5) :31 - 35.
  • 7SINGH K, GUPTA I, GUPTA S. SVM - BDT PNN and fourier moment technique for classification of leaf shape [ J ]. International Journal of Signal Processin,,.2010.3 (4) : 67 -78.
  • 8ROSSATTO D, CASANOVA D, KOLB R, et al. Fractal analysis ofleaf- texture properties as a too]for taxonomic and identification purposes: a case study with species from Neotropical Melastomataceae (Mi- conieae tribe) I J ]- Plant Systematics and Evolution, 2011,291 ( 1 ) : 103 - 116.
  • 9NEERAJ K, PETER N B, ARIJIT B, et al. Leafsnap: a computer vision system for automatic plant species identification [ C ]// ANDREW F, SVEILANA L, PIETRO P, et al. Proceeding ECCV 2012,Florence, 2012:502 - 516.
  • 10NGUYEN Q K, LET L, PHAM N H. Leaf basod plant identification system for Android using SURF features in combination with Bag of Words model and supervised learning[ C]. International Conference on Advanced Technology for Communication, Ho Chi Minh, Vietnam, 2013.

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