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한용구(Yonggu Han),최홍철(Hongchul Choi),김기범(Kibeom Kim),유성준(Seong Joon Yoo),한동일(Dongil Han) 대한전자공학회 2016 대한전자공학회 학술대회 Vol.2016 No.6
Currently, the damage assessor measures natural disaster for Agricultural disaster insurance upon Korean Rural Economic Institute. But it is underhanded fairness and slow. Using the acceleration sensor and camera on smart appliance, detect fallen fruits and extract the area of region of interest.
Self-Shadow를 이용한 푸른 사과 낙과 검출 시스템 개발
최홍철(Hongchul Choi),한용구(Yonggu Han),김기범(Kibeom Kim),한동일(Dongil Han) 대한전자공학회 2016 대한전자공학회 학술대회 Vol.2016 No.6
This paper proposes an algorithm for detecting apples to measure the number of apples on the ground through analyzing the apple of self-shadow. The proposed algorithm explores whether the apple candidate object has a round self-shadow. In order to educe colors appropriate for green apple areas, CIE L*a*b* color space was used to educe colors. In order to educe green apple characteristics strong against lighting change, modified census transform (MCT) was used. Then using AdaBoost Learning algorithm, characteristics data on green apples were learned and generated. And self-shadow is used as the weight to apply the light reflection characteristics of the ball-like shape. With generated data, detection of green apple areas was made. The proposed algorithm had a higher detection rate than existing image processing algorithms and minimized false detection.