期刊论文

中文

农业机械学报

1000-1298

2016

47

12

285-292,346

10.6041/j.issn.1000-1298.2016.12.035

(201104090):国家林业公益性项目 (2014207):湖南省高校科技创新团队支持计划项目 (CX2016B326):湖南省研究生科研创新项目 (CX2016B12):中南林业科技大学研究生科技创新基金项目

本校为第一机构

针对传统凸壳理论进行遮挡果实定位检测时由于过多剔除有效轮廓,造成目标果实定位误差较大,甚至无法识别目标果实的问题,提出了一种基于改进凸壳理论的遮挡油茶果定位检测算法。首先利用基于颜色特征的阈值分割法对油茶果遮挡图像进行目标分割,并通过预处理操作剔除图像中的背景噪声,获得目标果实的二值图像;然后采用凹点搜寻算法检测重叠目标的凹点,并根据凹点对重叠目标进行分离,获得相互独立的目标图像;再构建各独立目标的凸包,并提取凸壳,利用轮廓提取算法确定各独立目标凸壳上的有效轮廓;最后根据提取的有效轮廓求解目标果实形心坐标和半径,完成遮挡果实的定位检测。试验结果表明,改进算法...

The existing method based on convex hull theory has low detecting ratio and large locating error because of failing to extract effective contour of the concave regions for occluded fruits. In order to improve recognition accuracy and reduce error of the current method, a kind of improved algorithm for detecting and locating occluded Camellia oleifera fruits was proposed. Firstly, in order to get a grayscale image of occluded Camellia oleifera fruits, different color spaces of the original image were compared and then R-B chromatic aberration characteristic was chosen. The Otsu method was used ...