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High‐precision Classification of Small Insects with Similar Color and Shape Using Image Processing
Author(s) -
IKEMOTO NAOYA,
TERADA KENJI,
TAKASHINA YUTA,
NAKANO AKIO
Publication year - 2017
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.11996
Subject(s) - artificial intelligence , process (computing) , computer vision , image processing , scanner , image (mathematics) , computer science , pattern recognition (psychology) , operating system
SUMMARY In this paper, we propose a method of surveillance of the plant growth using image processing. This method is able to observe the condition of raising the plant in the greenhouse by detecting small insects. Experts can classify small insects, but many general people cannot classify small insects. Therefore we propose a method of classifying small insects by using image processing. The plate is prepared for extracting small insect. The image is obtained by an image scanner. In first process, each region of small insects is extracted from the image scanner image by using color information. In next process, some features are detected from the region of small insects. In last process, small insects are classified using above features. The experiments using the experimental system are performed to demonstrate the efficacy of this method and the experimental results are shown.