http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
색채선별기 곡물 이미지 가시화 및 선별기법에 관한 연구
이춘영(Choon-Young Lee),얀레이(Lei Yan),이상룡(Sang-Ryong Lee),박철우(Cheol-Woo Par) 한국가시화정보학회 2008 한국가시화정보학회지 Vol.6 No.2
The color sorting technique utilizing the image processing method is very applicable tool to analyze motion of a free-falling object in many agricultural and industrial research fields. In the present study, we have developed an image processing system and algorithm to sort good quality rice grains effectively from the bad ones. The system employs a high speed rate line-scan CCD camera with 2K-pixels and worked with a high speed DSP and FPGA in-line. It can accumulate acquired line-scan image data and visualize each grain image clearly. As a result, we can easily calculate the number of pixels occupied by grain(=grain size), gray level and its correct position by visualizing grain images rapidly.