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Alternative TitleClustering Method of Positioning for Maize Seed Laser-cutting Slices Combined with Spatial Constrains
魏英姿1; 谭龙田1; 谷侃锋2; 杨继兰1; 曹雪萍1
Source Publication农业机械学报
Indexed ByEI ; CSCD
EI Accession number20191906870499
Contribution Rank2
Funding Organization辽宁省自然科学基金项目(20180550791、20180550520) ; 辽宁省教育厅高等学校基本科研项目(LG201708)
Keyword玉米籽粒 激光切片 定位 相关性滤波器 二分均值聚类
Other AbstractMaize seeds are of different shapes and sizes, It is the bottleneck that the maize seed laser-cutting slices are orientated and positioned accurately for the molecular breeding genotype analysis to achieve high throughput with automation. The machine vision system means to recognize the maize feature regions for positioning laser-cutting slices accurately in a single seed image. An area correlation filter was presented for describing the pixel with spatial constrain information. The definition of the round mask template was proposed for the seed morphological measurement. The round template size was determined by the area of a single maize seed. Some of pixel coordinate data were extracted to be classified from the target domains by the filtration of the area correlation filter. Through the bisecting-means clustering with the specific initial clustering centers,the extracted data were divided into thin part class and thick part class. Also,their clustering centers were got,which were corresponded to the thin part class and two arc corner classes,respectively. The labeling partition operation was applied to the connected domains for finely adjusting and marking the centers of tip part and two arc corners. Finally,the coordinates of two interpolated point-pairs near the thick part were calculated. Through linking two pairs of interpolated points,the laser-cutting lines were located with high precision. The seed clamping pose was determined according to the tip part center and the centroid of seed. Compared with SUSAN,SUSAN detector cannot be directly applied to locate the feature region of maize seed. The experimental results verified the effectiveness of the proposed method on yellow and white maize seeds.
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Document Type期刊论文
Corresponding Author魏英姿
Recommended Citation
GB/T 7714
魏英姿,谭龙田,谷侃锋,等. 玉米籽粒激光切片定位技术[J]. 农业机械学报,2019,50(1):35-41.
APA 魏英姿,谭龙田,谷侃锋,杨继兰,&曹雪萍.(2019).玉米籽粒激光切片定位技术.农业机械学报,50(1),35-41.
MLA 魏英姿,et al."玉米籽粒激光切片定位技术".农业机械学报 50.1(2019):35-41.
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