Image segmentation directly determines the performance of automatic screening technique. However,there are overlapping nuclei in nuclei images. It raises a challenge to nuclei segmentation. To solve the problem,a segm...Image segmentation directly determines the performance of automatic screening technique. However,there are overlapping nuclei in nuclei images. It raises a challenge to nuclei segmentation. To solve the problem,a segmentation method of overlapping cervical nuclei based on the identification is proposed. This method consists of three stages： classifier training,recognition and fine segmentation. In the classifier training,feature selection and classifier selection are used to obtain a classifier with high recognition rate. In the recognition,the outputs of the rough segmentation are classified and processed according to their labels. In the fine segmentation,the severely overlapping nuclei are further segmented based on the prior knowledge provided by the recognition. Experiments show that this method can accurately segment overlapping nuclei.展开更多
This paper presents a segmented trajectory planning strategy for active collision avoidance system.Considering the longitudinal and lateral movement of the obstacle vehicle,as well as the ego vehicle and obstacle oute...This paper presents a segmented trajectory planning strategy for active collision avoidance system.Considering the longitudinal and lateral movement of the obstacle vehicle,as well as the ego vehicle and obstacle outer contour limitations,the collision avoidance trajectory is divided into three segments:lane changing,overtaking and back to original lane.The starting point and end point of lane-change are decided based on longitudinal and lateral safety distance model according to the relative speed and distance as well as the outer contour of the two vehicles.Based on system objective function and lane-change trajectory cluster,vehicle states,dynamic constraints and vehicle body kinematics constraints,the optimal trajectory can be selected,which can monitor the relative location of the obstacle vehicle constantly and then ensure the vehicle can accomplish the collision avoidance safely and smoothly.Simulation and experiment results demonstrate the effectiveness and feasibility of proposed trajectory planning strategy for the active collision avoidance.展开更多
基金supported by the National Natural Science Foundation of China(61673142,61471145,61305001)the Foundation of Education Department of Heilongjiang Province(12511096)+1 种基金the Research Fund for the Doctoral Program of Higher Education of China(20132303120003)the Science Funds for the Young Innovative Talents of HUST(20152)
文摘Image segmentation directly determines the performance of automatic screening technique. However,there are overlapping nuclei in nuclei images. It raises a challenge to nuclei segmentation. To solve the problem,a segmentation method of overlapping cervical nuclei based on the identification is proposed. This method consists of three stages： classifier training,recognition and fine segmentation. In the classifier training,feature selection and classifier selection are used to obtain a classifier with high recognition rate. In the recognition,the outputs of the rough segmentation are classified and processed according to their labels. In the fine segmentation,the severely overlapping nuclei are further segmented based on the prior knowledge provided by the recognition. Experiments show that this method can accurately segment overlapping nuclei.
基金the National Natural Science Foundation of China(Grant No.51202175)the Youth fund of Jiangsu Natural Science Foundation(Grant No.BK20200423)National Natural Science Foundation of China(Grant No.5210120245).
文摘This paper presents a segmented trajectory planning strategy for active collision avoidance system.Considering the longitudinal and lateral movement of the obstacle vehicle,as well as the ego vehicle and obstacle outer contour limitations,the collision avoidance trajectory is divided into three segments:lane changing,overtaking and back to original lane.The starting point and end point of lane-change are decided based on longitudinal and lateral safety distance model according to the relative speed and distance as well as the outer contour of the two vehicles.Based on system objective function and lane-change trajectory cluster,vehicle states,dynamic constraints and vehicle body kinematics constraints,the optimal trajectory can be selected,which can monitor the relative location of the obstacle vehicle constantly and then ensure the vehicle can accomplish the collision avoidance safely and smoothly.Simulation and experiment results demonstrate the effectiveness and feasibility of proposed trajectory planning strategy for the active collision avoidance.
