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Adriana Telias, Emily Hoover, and Diego Rother

, each point in the image is classified as foreground or background using a nearest-neighbor classifier ( Duda et al., 2001 ). The nearest-neighbor classifier assigns to each pixel the label of the closest (according to Euclidian distance in RGB space

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Pedro García-Caparrós, Alfonso Llanderal, Ahmed El-Tarawy, John Majsztrik, and María Teresa Lao

red (R), green (G), and blue (B) pigments as per Ali et al. (2012) . Briefly, the RGB values were analyzed using an optical scanner (ES-2000; Seiko Epson Corp., Suwa, Japan) and the images were processed with Adobe Photoshop CS6 (Adobe System Software

Open access

Jack Olson and Matthew Clark

( B ), white ( C ), spotty ( D )] phenotypes. For leaf image analysis, three leaves from each variegated plant (n = 42) were segmented by sector using RGB color space in Food Color Inspector software version 4.0 ( http

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C. Campillo, M.H. Prieto, C. Daza, M.J. Moñino, and M.I. García

the image according to the range of radiation levels shown on an RGB image of the crop (0 to 255 colors); this was done using a RGB max reclassification tool (GIMP 2.2). Figure 2 shows the evolution of the crop, using digital imagery, both before and

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Gary W. Stutte

are expressed at RGB (red/green/blue); RB (red/blue); R (red); and RFr (red/far red) and the photostationary state ( Φ ) is provided. (Data derived from Stutte et al., 2009 .) Although the development of anthocyanin appears to be regulated by

Open access

Zhenhua Li, Yiling Liu, and RenXiang Liu

phenotypic platform for color evaluation, three RGB parameters need to be used together, unlike CIELAB color space, where a single parameter representing a color is enough. For example, a* is positive for red colors and negative for green, whereas b* is

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Justin M. Vitullo and Clifford S. Sadof

. The area of leaf tissue consumed in each petri dish was measured using images of leaves scanned before and after the assay with a UMAX Astra 1220S (UMAX Technologies, Dallas) flatbed scanner. Images were saved in True Color, RGB format at 200 × 200

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Zhengnan Yan, Dongxian He, Genhua Niu, Qing Zhou, and Yinghua Qu

red light (RGB treatment with 78% red lights) resulted in higher LUE, and lowest power consumption combined with highest EUE were obtained in the treatment with highest portion of white LEDs, as with the same PPFD , RGB treatments led to highest shoot

Open access

Eileen M. Perry, Ian Goodwin, and David Cornwall

in false color (810, 710, and 660 nm displayed as RGB), ( B ) corresponding ISODATA classification, and ( C ) masked reflectance and sample areas. Leaf reflectance measurements. Leaf reflectance measurements were made to evaluate the same indices

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Jongyun Kim, Seung Won Kang, Chun Ho Pak, and Mi Seon Kim

cm 2 at 300 dpi scanning. To acquire the color information, RGB (red, green, blue) means in [histogram] were collected and converted into L*, a*, b* value through [color picker] in Photoshop. From acquired a* and b* value, C* and h° were calculated