摘要
提出一种采用SURF(speeded up robust features)特征提取结合区域灰度增强以提高种子图像特征匹配度的改进方法。该方法根据样品和待测种子外部特征,提取SURF特征集,计算图像特征对应的灰度直方图,并通过规定化处理增强区域灰度,最后计算出图像的匹配度。试验结果表明,该方法特征匹配平均耗时<10ms,实时性强;能避免不同外界光源的干扰,鲁棒性强;匹配度平均提高30%,有效提高了图像的匹配度。
The Paper proposed a method for enhancing the matching degree of seed images to its features by SURF （speeded up robust features） and area-grayscale enhance. According to external feature of seed, the SURF features were extracted and Grayscale-histogram of images was calculated. Area-grayscale was enhanced according to normalization and for the calculation of the degree of matching of images. Experimental result indicated that the average time of feature matching was less than 10ms. The method presented good resistance to interference of light and strong robustness. The degree of matching of images was improved by 30% on average.
出处
《中国农业大学学报》
CAS
CSCD
北大核心
2013年第5期136-140,共5页
Journal of China Agricultural University
基金
杭州市科技攻关项目(062422B09)
关键词
种子
SURF特征
灰度
直方图
规定化
匹配度
seed
SURF feature
grayscale
histogram
normalization
the degree of matching
