基于背景骨架特征的粘连米粒图像分割算法

基于背景骨架特征的粘连米粒图像分割算法
李冰;何超
【期刊名称】《计算机应用》
【年(卷),期】2017(037)0z2
【摘要】为了提高粘连米粒图像的分割准确率,提出一种基于背景骨架特征的粘连米粒图像自动分割算法.首先,通过图像预处理与图像连通区域形状分析,得到米粒粘连区域的二值图像;然后,计算粘连米粒区域的最小凸包图像,提取最小凸包范围内的背景区域图像,对得到的背景区域图像进行提取骨架处理,通过骨架特征图像获取骨架端点作为分割端点;最后,通过端点匹配规则,匹配检索出最优分割位置,绘制分割曲线得到粘连米粒分割结果.实验结果表明,所提算法对于复杂情况下的不同粒形米粒的粘连分割能很好适应,综合分割准确率为93.5％,相比经典距离变换的分水岭算法和改进型分水岭算法,算法准确率分别提高了14.4和4.6个百分点,并且形成的米粒分割边界更平滑,对形状影响更小.%In order to improve the segmentation accuracy of touching rice kernels in rice image,a segmentation algorithm was proposed by using skeleton features of the image background to separate touching rice kernels automatically.Firstly,through the image processing and image area analysis,the binary image of rice kernels' touching area was obtained.Then,the minimum convex hull image of rice kernels' touching area was calculated,and the background area in the range of minimum convex hull was extracted.The skeleton features of background image were extracted and the skeleton endpoints were regarded as segmentation endpoints.Finally,according to endpoints
matching rules,the optimal segmentation position could be retrieved and the curve was drawn to get segmentation results of touching rice kernels.Experimental results indicate that the proposed algorithm has strong adaptability for different shapes of rice kernels in complex situations;its integrated segmentation accuracy is 93.5％,which is 14.4 percentage points and 4.6 percentage points higher than the watershed algorithm based on distance transformation and the improved watershed algorithm.Meanwhile,the proposed algorithm obtains more smooth boundary for rice kernels and has less affect on the shape.
【总页数】5页(P198-202)
【作者】李冰;何超
【作者单位】哈尔滨工程大学自动化学院,哈尔滨150001;哈尔滨工程大学自动化学院,哈尔滨150001
【正文语种】中文
【中图分类】TP391.41
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