Study on automatic identification and counting method for Laodelphax Striatellus(Fallen)
In order to provide reliable insect population data for more accurate application,a method of calculating the number of Laodelphax Striatellus(Fallen)based on image recognition technology was proposed.Three groups of shooting condition were set,which were composed of different shooting distances and camera adjustment factors.A recognition and counting model was formed by the combination of three parameters of the region area,the region roundness and the boundary diameter.The edge detection and region filling were used to complete the extraction of individuals in images,and the parameters values of five single long wing images and five single short wing images were calculated separately in each group condition as standard.Under the same shooting conditions,4 independent and 4 slightly connected Laodelphax Striatellus(Fallen)count images were calculated respectively,and the results of each region were compared with the standard value range of parameters.If the three parameters were all within the range,1 was output;If at least one parameter did not match,recalculate the area of the region and the boundary diameter,and output 2 when it met 2 times the standard value at the same time.The results showed that 8 of the independent images had a relative error rate of 0％,3 were less than 10％,and 1 was 13.3％.Among the slightly connected images,the relative error rate of 2 was 0％,6 was less than 10％,and 4 was 10％-25％,which could satisfy the automatic calculation of the number of Laodelphax Striatellus(Fallen).
Laodelphax Striatellus(Fallen)automatic recognition and countingregion arearegion roundnessboundary diameter
NETL
NSTL
万方数据
