학술논문
RGB 영상을 이용한 옥수수 재조합자식계통 집단 종자의 형태 및 색상 특성 분석
Analysis of Seed Morphological and Color Traits in Recombinant Inbred Line(RIL) Population of Maize(zea mays) using RGB based Images
Analysis of Seed Morphological and Color Traits in Recombinant Inbred Line(RIL) Population of Maize(zea mays) using RGB based Images
Document Type
Article
Source
한국국제농업개발학회지, 35(4), pp.311-319 Dec, 2023
Subject
Language
한국어
ISSN
2287-8165
1225-8504
1225-8504
Abstract
1. 옥수수 종자의 표현체 정보를 정량화하기 위해 82개 재조합자식계통(recombi- nant inbred line) 종자의 RGB 디지털 영상을 획득하고 형태와 색상 데이터를 분석했다. 2. 디지털 이미지 데이터로부터 면적, 둘레, 장폭, 단폭, 원형율, 둥근 정도와 표면 질감의 7개 지표에 대한 값을 추출하였다. 3. 추출된 RGB 데이터를 헥스 색상 코드로 변환하여 종자의 대표 색상으로 가시 화하였다. 가시화된 색상은 크게 회색, 황백색, 황색, 회 오렌지색, 자색, 갈색 색상의 6개 군으로 구분하였다. 4. 이 연구에서 제시한 RGB 디지털 영상을 이용한 옥수수종자의 표현체 분석 결과는 종자의 표현체 데이터베이스를 구축하고 표준적인 분류 체계를 확립하 는데 유용한 수단이 될것이다.
To identify some significant phenotypic characteristics of maize(zea mays) seeds, we have obtained Red, Green, Blue(RGB) digital image data from 82 recombinant inbred lines. Based on the collected image data, their morphological and color data were analyzed, and seven significant parameters were selected, including area, perimeter, length, width, circularity, roundness, and surface texture. The extracted RGB data were converted into color hex codes to visualize the representative colors of the seeds. These visualized colors were categorized into six groups: gray, yellowish white, yellow, grayish orange, purple, and brown. The results of maize seed phenotypic analysis using the RGB digital images in this study will serve as a useful tool for constructing a database of seed phenotyping database and establishing a standardized classification system.
To identify some significant phenotypic characteristics of maize(zea mays) seeds, we have obtained Red, Green, Blue(RGB) digital image data from 82 recombinant inbred lines. Based on the collected image data, their morphological and color data were analyzed, and seven significant parameters were selected, including area, perimeter, length, width, circularity, roundness, and surface texture. The extracted RGB data were converted into color hex codes to visualize the representative colors of the seeds. These visualized colors were categorized into six groups: gray, yellowish white, yellow, grayish orange, purple, and brown. The results of maize seed phenotypic analysis using the RGB digital images in this study will serve as a useful tool for constructing a database of seed phenotyping database and establishing a standardized classification system.