16 research outputs found

    Segmentation of mango region from mango tree image

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    In this paper we propose a novel framework for segmentation of mango regions from its tree image. The proposed framework consists of mango localization followed by mapping of boundary information to the located region for segmentation. Initially thresholding is applied to each individual color band R,G and B by adaptive thresholding and later they are combined back. Application of smoothing and binarization to the combined image gives the location of mangoes along with noise. The texture features are extracted from each location then matched with template stored in the database to eliminate the noisy regions. Finally, locations of the mangoes are obtained and edge information is superimposed on to those locations for segmentation. An experiment is performed on our own dataset and efficiency is evaluated by computing the precision, recall and F-measure with respect to the human segmented images considering as a ground truth

    Mirabilis viscosa (Nyctaginaceae)– Newly recorded for Asia, as a naturalised plant

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    While preparing an inventory of the flowering plants of Mysore city, Karnataka, India, the authors have col-lected Mirabilis viscosa Cav., a naturalised weed bearing colourful flowers. This naturalised exotic is reported here as a new record for Asia

    Mirabilis viscosa (Nyctaginaceae)– Newly recorded for Asia, as a naturalised plant

    No full text
    While preparing an inventory of the flowering plants of Mysore city, Karnataka, India, the authors have col-lected Mirabilis viscosa Cav., a naturalised weed bearing colourful flowers. This naturalised exotic is reported here as a new record for Asia
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