计算机工程与应用2011，Vol.47Issue(9)：163-166,4.DOI:10.3778/j.issn.1002-8331.2011.09.048
采用自适应canny算子的树上柑橘图像边缘检测
Citrus edge detection based on self-adaptive canny operator
摘要
Abstract
A self-adaptive canny operator is developed to detect edges of citrus images.RGB images are obtained and linearly transformed into R-B chromatic aberration space at first.In R-B space, scale factor of Gaussian filter fast calculated using integral images and the high and low threshold values obtained by OTSU algorithm are extracted to improve automatic edge detection.It is showed that the obtained edge using the above mentioned method,which is more effective than other traditional methods has good connectivity and suppresses the noise well.Moreover,this method is less sensitive to lighting variations.Once image edge is detected with this adaptive canny operator,the following identification and localization of citrus might be applied.关键词
边缘检测/canny算子/R-B色差空间/高斯滤波器尺度Key words
edge detection/canny operator/R-B chromatic aberration space/scale factor of Gaussian filter分类
农业科技引用本文复制引用
彭辉,文友先,吴兰兰,翟瑞芳,刘善梅..采用自适应canny算子的树上柑橘图像边缘检测[J].计算机工程与应用,2011,47(9):163-166,4.基金项目
华中农业大学博士科研启动基金(No.52204-09100). （No.52204-09100）
