Automatic counting the number of Collembola in digital images
Counting the number of Collembola in digital images is a routine task in laboratories of soil ecotoxicology. This process is based on a direct visual identification of Collembola, and is consequently a time consuming task. This paper present a fully automatic system for counting the number of Collembola in digital images. The system selects the interest area of the image, detects and removes the specular reflection of the incident light, as well as the foam developed during laboratory experiment and finally identifies and counts the number of Collembola. The system performance was tested using 5 treatments with 9 or 10 replicates and 13 treatments with 4 or 5 replicates. A total of 111 images were tested and the results were compared with those obtained by manual identification. The average relative error between automatic and manual counts from multiple observations of the same treatment was 2.1％, which can be considered a good result, given that this value is below the standard deviation between multiple replicate counts.
C.M.R. Caridade A.R.S. Marcal T. Mendonca T. Natal-da-Luz J.P. Sousa
Instituto Superior de Engenharia de Coimbra Coimbra, Portugal Centro de Investigacao de Ciencias Geo Faculdade de Ciencias,Universidade do Porto, Portugal Centro de Investigacao de Ciencias Geo-Espacia Faculdade de Ciencias,Universidade do Porto, Portugal IMAR-CMA Departamento de Ciencias da Vida Universidade de Coimbra, Portugal
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
1868-1872
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）