The pigments induction on RGB formulas properties for the digital pixels of Mango's leaves.
Hammad A. Y., Kass F. S. E. S.
Author Affiliation: National Authority for Remote Sensing and Space Sciences NARSS, Cairo, Egypt.
Journal of Applied Sciences Research : 2049-2058
Abstract : This study experimented and evaluated sexteen cultivars of healthy Mango's leaves (Mangifera indica L.) full-fledged\mature (6 month) old from Mango Spp. namely Taimour, Dabsha, Aromanis, Zebda, Fagri Kelan, Alphonse, Bulbek heart, Langra, Compania, Mestikawi, Hindi-Sinnara, Ewais, Montakhab El Kanater a, Mabroka, Royal-hindi and Sediek (Symbol: Ta, Da, Ar, Ze, Fa, Al, La, Hi, Co, Bu, Me, Ew, Mo, Ma, Ro and Se) under nine formula of color space tests such as (sRGB 0÷1, CMY, CMYK, XYZ, CIE-L*ab, CIE-L*CH, CIE-L*uv, Yxy and Hunter-Lab) and RGB 0÷FF/hex triplet utilizing digital color photographs as tool for obtainment the natural color information for each cultivar on the upper and lower surfaces of Mango's leaves as a non-destructive analyses then the result linked with total pigment estimation as a destructive analyses. Since the total pigments structure and concentration were given indication for color tone of the pixel (natural color information) from the digital picture. On the other hand the color space properties followed the direction of total pigments structure and concentration%. The formula of color space tests can evaluation the total pigments of the leaves. Our study estimation the digital color space characteristics of pixels for upper and lower Mango's leaves for evaluation the total pigments using the pixels of digital picture. Our location study in the visual green color degrees from the visible color of electromagnetic spectrum in wavelength between (~520 to 570) nm and frequency between (~580-530) THz.