Study on Recognition of Black Insects on Dark Background by Computer Vision

Abstract:

Improved color channel comparison method (ICCCM) is an effective method to transformcolor 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. Howeverit is difficult to use the ICCCM to extract and recognize the black insects from the realcolorimage with dark background. In this paper, the ICCCM is modified to transformthe color images into the gray ones, extracting and recognizing the black insectson the dark background. The ICCCM is modified as follows: (1) A threshold of the gray image is an average brightness value ofred (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 realcolorimages with dark background compared with the ICCCM.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 4685-4689
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.4685
• Online since: September 2013
• Authors: Sa Liu, Yan Yang, Xiao Dong Zhu, Huai Wei Wang, Shi Bin Lian
• Keywords: Black Insect, Color-to-Graytransformation, Computer Vision, Dark Background, Extraction of Insect

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