中国农业大学学报2017，Vol.22Issue(11)：140-147,8.DOI:10.11841/j.issn.1007-4333.2017.11.16
一种改进的葡萄叶片自动分割算法
An improved automatic segmentation algorithm for grape leaves
摘要
Abstract
In order to tackle the problem that grape leaf image can not be segmented accurately under different light and weather conditions.An improved graph segmentation algorithm is proposed.Firstly,the seed points are automatically selected by G/R and a* color characteristics,and the probability density of the target and the background is estimated by using the mixed Gaussian model.Then based on the Markov random field,the energy function of pixel feature is established.Finally,the cuts are realized by solving the energy function minimization.The effects on segmentation by many different segmentation features are compared.The results shows that single use of G/R or a* gives better result for leaves image in different time and weather.The segementation accuracy can reach 86.74％ and 92.38％,respectively.If they are combined into double characteristic,the result of the segementation will be more accurate and the segmentation accuracy can reach 95.03％.关键词
葡萄叶片/颜色特征/能量函数/图像分割Key words
grape leaf/color characteristics/energy function/graph cut分类
信息技术与安全科学引用本文复制引用
赵金阳,冯全,王书志,张芮..一种改进的葡萄叶片自动分割算法[J].中国农业大学学报,2017,22(11):140-147,8.基金项目
国家自然科学基金项目(61461005) （61461005）
甘肃省科技重大专项计划(1502NKDF023) （1502NKDF023）
