Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

Study on recognition of black insects on dark background by computer vision

Authors
Sa Liu, Yan Yang, Xiaodong Zhu, Huaiwei Wang, Shibin Lian
Corresponding Author
Sa Liu
Available Online May 2014.
DOI
https://doi.org/10.2991/iccia.2012.53How to use a DOI?
Keywords
black insect, extraction of insect, dark background, color-to-gray transformation, computer vision
Abstract

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 Otsu’s theory. The modified ICCCM more effectively extracts and recognizes the black insects from the real color images with dark background compared with the ICCCM.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-91216-41-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccia.2012.53How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Sa Liu
AU  - Yan Yang
AU  - Xiaodong Zhu
AU  - Huaiwei Wang
AU  - Shibin Lian
PY  - 2014/05
DA  - 2014/05
TI  - Study on recognition of black insects on dark background by computer vision
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 218
EP  - 221
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.53
DO  - https://doi.org/10.2991/iccia.2012.53
ID  - Liu2014/05
ER  -