摘要
通过直方图分析,建立了适用于棉花异性纤维图像的增强模型;提出了改进Otsu法,并对Otsu方法的分割效果进行了深入分析。实验结果表明,所有棉花异性纤维图像的灰度直方图基本都呈单峰特性;所建的增强模型可以显著提高异性纤维目标与皮棉背景之间的对比度;改进Otsu法将最佳阈值的搜索范围从0255缩减到150230,使此环节的计算速度提高了2倍多。
In computer-vision-based systems for detecting foreign fibers,an efficient segmentation method is vital for improving the speed and precision of detection.An image enhancement model was presented based on histogram analysis,an improved Otsu＇s method was proposed for segmenting gray images of foreign fibers,and the segmentation results were analyzed in detail.The results indicate that all histograms of gray images of foreign fibers are of single peak,and the contrast between object and background can be remarkably enhanced by the enhancement model presented.The Otsu＇s method is effective for images of sheet foreign fibers,but does not work well for images of wirelike or villiform fibers,as some background pixels with gray values closed to the threshold are easily segmented as object pixels by mistake.But after the images were enhanced,the satisfactory segmentation results were achieved.The improved Otsu＇s method reduced the searching range for calculating optimal threshold from 0～255 to The calculating speed in this stage was improved more than twice.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2009年第3期156-160,171,共6页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家科技支撑计划资助项目(2006BAD11A14-1)
关键词
棉花
异性纤维
直方图分析
图像分割
改进OTSU法
Cotton
Foreign fibers
Histogram analysis
Image segmentation
Improved Otsu＇s method
