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      • KCI등재

        Interactions between Endophytes and Plants: Beneficial Effect Endophytes to Ameliorate Biotic and Abiotic Stresses in Plants

        Yu Zhang,Xiaxia Yu,Wenjin Zhang,Duoyong Lang,Xiaojia Zhang,Gaochang Cui,Xinhui Zhang 한국식물학회 2019 Journal of Plant Biology Vol.62 No.1

        Endophytes are typically non-pathogenic microbesthat at some period in their life cycles colonize the interiorspaces of plant tissues. There is a growing interest in the roleof the endophytes in ameliorating various stresses on plants,including biotic stress (such as pathogenic microbes) andabiotic stress (such as drought and salt stress), becauseendophytes can produce phytohormones, fixing nitrogen,antagonistic substances, enzymes, which plays an importantrole in plants respond to biotic and abiotic stress. Previouslyresearchers have reviewed endophytes promote plant growththrough direct or indirect mechanisms. In order to furtherclarify the interactions between endophytes and it’s hostplants, we reviewed the biological properties of endophytesisolated from different parts of plant, the methods of plantinoculation with endophytes and the beneficial effects ofendophytes to mitigate biotic and abiotic stress in plants.

      • An Improved Canny Edge Detection Algorithm

        Yu Chen,Caixia Deng,Xiaxia Chen 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.10

        Aimed at the defects of the traditional Canny operator, this paper puts forward an improved algorithm in edge detection. First, this paper gives a new method on selfadaptive image block based on threshold value. Next, by proposing a new hybrid filterbank of self-adaptive median and morphology, we adopt this hybrid filter-bank to smooth the noise image. Then, we add the information of gradient in two bevel directions, so that the information of gradient is more complete. Last, by using the threshold value to process the image of gradient which is after non-maxima suppression, we obtain the image edge. For the noise image, this improved algorithm not only can filter out noise well, but also the image edge is continuous, smooth, clear. The experimental results show that the improved algorithm has a good effect in edge detection, strong capability of noise immunity. The objective evaluation and visual effect are good, too.

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