谷物纹理特征的识别(英文)

被引:16
作者
张弓
D.S.Jayas
蒋德云
张肇鲲
机构
[1] 曼尼托巴大学生物系统工程系!温尼伯
[2] MB
[3] RTV
[4] 加拿大
[5] 安徽农业大学农业工程系!合肥
关键词
识别; 共生矩阵; 分形模型; 谷物; 纹理;
D O I
暂无
中图分类号
S31 [作物生物学原理、栽培技术与方法];
学科分类号
090101 ;
摘要
谷物纹理是谷物的主要特征 ,为分析识别谷物纹理特征 ,而建立了综合纹理识别模型。模型包括两部分 :一部分是用灰度共生矩阵提取相关纹理特征 ,包括纹理方向、粗糙度、对比度、同异度 ,另一部分是用多分形模型提取纹理特征 ,这部分特征与纹理结构相关 ,该模型对 3种谷物 (小麦、燕麦、大麦 )的平均识别率是 95 %。
引用
收藏
页码:149 / 153
页数:5
相关论文
共 14 条
[1]  
An instrumental system for cereal grain classification using digital image analysis. Sapirstein H D,M Neuman,E H Wright,et al. Journal of Cereal Science . 1987
[2]  
Determination of wheat kernel morphological variation by digital image analysis: I.Variation in Eastern Canadian milling quality wheats. Symons S J,R G Fulcher. Journal of Cereal Science . 1998
[3]  
Determination of wheat kernel morphological variation by digital image analysis: II.Variation in cultivars of soft white winter wheats. Symons S J,R G Fulcher. Journal of Cereal Science . 1988
[4]  
Discrimination of wheat and non-wheat components in grain samples by image analysis. Zayas I,Y Pomeranz,F S Lai. Cereal Chemistry . 1989
[5]  
Experiments in the visual perception of texture. Julesz B. Scientific American . 1975
[6]  
A first course in chaotic dynamical systems: theory and experiment. Devaney R L. . 1992
[7]  
Textural features for image classification. Haralick R M,K Shanmugam,I Dinstein. IEEE Transactions on Systems Man and Cybernetics . 1973
[8]  
The measurement of new characters for cultivars identification in wheat using machine vision. Keefe P D,S R Draper. Seed Science and Technology . 1986
[9]  
An automated machine vision system for the morphometry of new cultivars and plant gene bank accessions. Keefe P D,S R Draper. Plant Varieties and Seeds . 1988
[10]  
Application of pattern recognition techniques in the analysis of cereal grains. Lai F S,I Zayas,Y Pomeranz. Cereal Chemistry . 1986