Leaf Area Determination from Visual Image
c(person("Tanuj", "Misra ", role = c("aut", "cre"),
email = "tanujmisra102@gmail.com"),
person("Alka", "Arora", role = "aut", email = "Alka.Arora@icar.gov.in"),
person("Sudeep", "Sudeep", role = "aut", email = "Sudeep.Marwaha@icar.gov.in"),
person("Shailendra", "Kumar", role = "aut", email = "shailendrabujhansi@gmail.com"),
person("Mrinmoy", "Ray", role = "aut", email = "mrinmoy4848@gmail.com"),
person("Sudhir", "Kumar", role = "aut", email = "sudhirnp2@gmail.com"),
person("Pankaj", "Das", role = "aut", email = "pankaj.iasri@gmail.com")
)
Measurements of leaf area are important in the studies of plant biological characteristics. High-throughput plant phenotyping using image analysis is the key area in the domain of plant phenotyping. For determining the leaf area, the RGB image is converted into the grayscale image by simply averaging the Red(R), Green (G) and Blue (B) pixel values. Grayscale image is then converted into a binary image using Otsu’s thresholding method Otsu, N. (1979) <doi:10.1109/TSMC.1979.4310076> to separate plant area from the background (image segmentation). The segmentation process was accomplished by selecting the pixels with values over the threshold value belonging to the plant region and other pixels to the background region. The resulting binary image consists of white and black pixels representing the plant and background regions, respectively. Finally, the number of pixels inside the plant region was counted and converted to square centimetres (cm2) using the reference object (any object whose actual area is known previously) to get the projected leaf area.
Tanuj Misra [aut, cre],
Alka Arora [aut],
Sudeep Sudeep [aut],
Shailendra Kumar [aut],
Mrinmoy Ray [aut],
Sudhir Kumar [aut],
Pankaj Das [aut]

Estimation of Lifetime Attributable Risk of Cancer from
Radiation Exposure
c(person('YeongWoo', 'Park', role = 'aut',
email = 'yeong1991@naver.com'),
person('Juhee', 'Lee', role = c('aut', 'cre'),
email = 'ljh988488@gmail.com'),
person('Young-Min', 'Kim', role = 'aut',
email = 'kymmyself@knu.ac.kr'),
person('Songwon', 'Seo', role = 'ctb',
email = 'songwon@gmail.com'),
person('Eun-Shil', 'Cha', role = 'ctb',
email = 'eunshiri83@korea.ac.kr'),
person('Tae-Sung', 'Shin', role = 'aut',
email = 'sts7451@gmail.com'),
person('DeokKi', 'An', role = 'aut',
email = 'dkan1209@naver.com'),
person('Jinkyung', 'Yoo', role = 'aut',
email = 'w.yoojinky@gmail.com'),
person('Yu-Jeong', 'An', role = 'aut',
email = 'ayj9307@gmail.com'),
person('Won-Jin', 'Lee', role = 'ctb',
email = 'leewj@korea.ac.kr'))
Compute lifetime attributable risk of
radiation-induced cancer reveals that it can be helpful with
enhancement of the flexibility in research with fast calculation
and various options. Important reference papers include
Berrington de Gonzalez et al. (2012) <doi:10.1088/0952-4746/32/3/205>,
National Research Council (2006, ISBN:978-0-309-09156-5).
YeongWoo Park [aut],
Juhee Lee [aut, cre],
Young-Min Kim [aut],
Songwon Seo [ctb],
Eun-Shil Cha [ctb],
Tae-Sung Shin [aut],
DeokKi An [aut],
Jinkyung Yoo [aut],
Yu-Jeong An [aut],
Won-Jin Lee [ctb]