Study on recognition of black insects on dark background by computer vision
Improved color channel comparison method (ICCCM) is an effective method to transform color images into gray-scale ones.Based on the ICCCM,black or white insects could be effectively extracted and recognized from the real color images with bright background.However it is difficult to use the ICCCM to extract and recognize the black insects from the real color image with dark background.In this paper,the ICCCM is modified to transform the color images into the gray ones,extracting and recognizing the black insects on the dark background.The ICCCM is modified as follows:(1) A threshold of the gray image is an average brightness value of red (R),green (G) and blue (B) in all the image pixels.(2) The bright pixels and the color pixels have the highest brightness value 255 in the gray image.(3) A pixel brightness value of the dark area in the gray image equals to a minimum of R,G and B in the pixel.(4) After deleted all the pixels with a brightness value of 255,a threshold of the binary image is determined by Otsus theory.The modified ICCCM more effectively extracts and recognizes the black insects from the real color images with dark background compared with the ICCCM.
black insect extraction of insect dark background color-to-gray transformation computer vision
Sa Liu Yan Yang Xiaodong Zhu Huaiwei Wang Shibin Lian
Department of Computer Science and Information Beijing University of Agriculture Beijing 102206, China
国际会议
太原
英文
218-221
2012-12-08（万方平台首次上网日期，不代表论文的发表时间）