食品与机械2016，Vol.32Issue(12)：31-34,39,5.DOI:10.13652/j.issn.1003-5788.2016.12.007
融合局部纹理特征的颗粒图像SLIC超像素分割方法
A SLIC-basedsuperpixel segmentation method by using local texture features for granular image
摘要
Abstract
This paper adopts SLIC-based superpixel segmentation method in the granular image detection.SLIC method segments the granular image into superpixel block which will reduce the complexity of the subsequent image processing.As SLIC superpixel segmentation method doesn’t use the texture feature in the distance calculation,the detail of the outline for the granular object is lost. This paper adopts the CRLBP local texture operator as the texture feature to improve the SLIC segmentation’s distance calculation and searches the similar pixel in circle neighborhood pixels to guarantee the processing speed.The test on cotton seed image shows that the improved SLIC superpixel segmentation method is more efficient than watershed and original SLIC method.关键词
颗粒图像/超像素分割/SLIC/局部纹理算子/CRLBPKey words
granular image/superpixel segmentation/SLIC/local引用本文复制引用
李啸宇,张秋菊..融合局部纹理特征的颗粒图像SLIC超像素分割方法[J].食品与机械,2016,32(12):31-34,39,5.基金项目
国家自然科学基金项目资助(编号:51575236) （编号:51575236）
教育部中央高校基本科研业务专项基金资助(编号:JUSRP51316B) （编号:JUSRP51316B）
江苏省食品先进制造装备技术重点实验室(江南大学)资助 （江南大学）
