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玉米单倍体籽粒特征提取及识别
引用本文:宋鹏,吴科斌,张俊雄,陈绍江,刘金,李伟.玉米单倍体籽粒特征提取及识别[J].农业机械学报,2012,43(3):168-172.
作者姓名:宋鹏  吴科斌  张俊雄  陈绍江  刘金  李伟
作者单位:1. 中国农业大学工学院,北京,100083
2. 中国农业大学国家玉米改良中心,北京,100193
基金项目:国家高技术研究发展计划(863计划)资助项目(2010AA101401);国家自然科学基金资助项目(31071320);中国农业大学基本科研业务费研究生科研创新专项(KYCX2010088)
摘    要:研究了玉米单倍体育种过程经导入基因标记后杂交诱导产生的单倍体与杂合体籽粒特征提取及识别方法,实现了单倍体籽粒的准确识别。以导入基因标记后杂交诱导产生的玉米籽粒为研究对象,根据颜色特征将玉米分为紫色标记、黄色胚乳及白色胚部3部分,通过分析此3部分像素在RGB及HSV颜色空间内的分布特点,提出了(G-B)R/B模型,实现了紫色标记区域的有效提取;根据玉米籽粒形态特点及紫色标记部分的分布特点,提出了一种简单快速的单倍体籽粒识别方法。在单倍体分拣试验台上的试验结果表明,所提出的方法对单倍体的识别准确率达98.07%,且能满足动态检测要求。

关 键 词:玉米  单倍体  识别  图像处理  颜色特征  遗传标记

Corn Haploid Grain Feature Extraction and Recognition
Song Peng,Wu Kebin,Zhang Junxiong,Chen Shaojiang,Liu Jin and Li Wei.Corn Haploid Grain Feature Extraction and Recognition[J].Transactions of the Chinese Society of Agricultural Machinery,2012,43(3):168-172.
Authors:Song Peng  Wu Kebin  Zhang Junxiong  Chen Shaojiang  Liu Jin and Li Wei
Institution:China Agricultural University;China Agricultural University;China Agricultural University;China Agricultural University;China Agricultural University;China Agricultural University
Abstract:A feature extraction and identification method of corn haploid and hybrid kernels was studied. The corn kernels were produced by hybrid induction after importing gene markers to their male parent in corn haploid breeding process. The proposed method made the accurate identification of corn haploid kernels come true. Corn kernels produced by hybrid induction was researched. Firstly, the corn kernels were divided into three parts according to the color distribution, including purple marks, yellow endosperm and white embryo. Then a (G-B)R/B model was proposed by analyzing color features of pixel samples that got from the three parts. This model could extract the purple marks area effectively. A simple and quick identification method of corn haploid kernels was proposed after researching on morphological characteristics of corn kernels and distribution characteristics of purple marks. Experiments finished in the corn haploid sorting platform, they showed the accurate rate of corn haploid identification was above 98.07% by the proposed method, and it met the requirements of dynamic test.
Keywords:Corn  Haploid  Recognition  Image processing  Color feature  Genetic marker
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