The Experts below are selected from a list of 7074 Experts worldwide ranked by ideXlab platform
Hong Zhu - One of the best experts on this subject based on the ideXlab platform.
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Colour fast cfast match fast affine template Matching for Colour images
Electronics Letters, 2016Co-Authors: Di Jia, Jun Cao, Weidong Song, Xiaoliang Tang, Hong ZhuAbstract:Fast-match is a fast and effective algorithm for template Matching. However, when Matching Colour images, the images are converted into greyscale images. The Colour information is lost in this process, resulting in errors in areas with distinctive Colours but similar greyscale values An improved fast-match algorithm that utilises all three RGB channels to construct Colour sum-of-absolute-differences (CSAD) is proposed, thus improving the sum-of-absolute-differences distance used in fast-match. In this algorithm, each pixel in the image is categorised by clustering them using density-based spatial clustering of applications with noise (DBSCAN) algorithm over the RGB vector, then the number of pixels in each category and the cumulative RGB values for each RGB channel are calculated to identify the centroid of each category. The RGB vector centroid is used as the CSAD decision criteria, and inverse of number of pixels in each category is used as the differentiating coefficient to construct a new similarity measure. Experiment results demonstrate that this algorithm has significant higher accuracy for Matching Colour images than the original fast-match algorithm.
Patricia Beldade - One of the best experts on this subject based on the ideXlab platform.
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seasonal plasticity for anti predatory strategies Matching Colour and Colour preference for effective crypsis
bioRxiv, 2018Co-Authors: Erik Van Bergen, Patricia BeldadeAbstract:Effective anti-predatory strategies typically require Matching morphology and behaviour in prey and there are many compelling examples of behavioural strategies that enhance the effect of morphological defences. When protective adult morphologies are induced by a developmental environment predictive of future predation risk, adult behaviour should be adjusted accordingly to maximize predator avoidance. Behaviour is typically strongly affected by the adult environment but an effective match with a developmentally plastic morphology might be ensured when behaviour is affected the same pre-adult environmental cues. We study early and late life environmental effects on a suite of traits that are expected to work together for effective crypsis. We focused on body Colour and Colour preference in Bicyclus anynana , a model of developmental plasticity that relies on crypsis as a seasonal strategy for predator avoidance. Using a full-factorial design, we disentangle effects of developmental and adult thermal environments on both appearance and behaviour. We show that developmental conditions affect both adult Colour and Colour preference, with temperatures that simulate dry season conditions leading to browner butterflies with a perching preference for brown backgrounds. Our results reveal that coordinated environmentally-induced responses can increase effective seasonal anti-predatory strategies in species coping with environmental heterogeneity.
Di Jia - One of the best experts on this subject based on the ideXlab platform.
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Colour fast cfast match fast affine template Matching for Colour images
Electronics Letters, 2016Co-Authors: Di Jia, Jun Cao, Weidong Song, Xiaoliang Tang, Hong ZhuAbstract:Fast-match is a fast and effective algorithm for template Matching. However, when Matching Colour images, the images are converted into greyscale images. The Colour information is lost in this process, resulting in errors in areas with distinctive Colours but similar greyscale values An improved fast-match algorithm that utilises all three RGB channels to construct Colour sum-of-absolute-differences (CSAD) is proposed, thus improving the sum-of-absolute-differences distance used in fast-match. In this algorithm, each pixel in the image is categorised by clustering them using density-based spatial clustering of applications with noise (DBSCAN) algorithm over the RGB vector, then the number of pixels in each category and the cumulative RGB values for each RGB channel are calculated to identify the centroid of each category. The RGB vector centroid is used as the CSAD decision criteria, and inverse of number of pixels in each category is used as the differentiating coefficient to construct a new similarity measure. Experiment results demonstrate that this algorithm has significant higher accuracy for Matching Colour images than the original fast-match algorithm.
Erik Van Bergen - One of the best experts on this subject based on the ideXlab platform.
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seasonal plasticity for anti predatory strategies Matching Colour and Colour preference for effective crypsis
bioRxiv, 2018Co-Authors: Erik Van Bergen, Patricia BeldadeAbstract:Effective anti-predatory strategies typically require Matching morphology and behaviour in prey and there are many compelling examples of behavioural strategies that enhance the effect of morphological defences. When protective adult morphologies are induced by a developmental environment predictive of future predation risk, adult behaviour should be adjusted accordingly to maximize predator avoidance. Behaviour is typically strongly affected by the adult environment but an effective match with a developmentally plastic morphology might be ensured when behaviour is affected the same pre-adult environmental cues. We study early and late life environmental effects on a suite of traits that are expected to work together for effective crypsis. We focused on body Colour and Colour preference in Bicyclus anynana , a model of developmental plasticity that relies on crypsis as a seasonal strategy for predator avoidance. Using a full-factorial design, we disentangle effects of developmental and adult thermal environments on both appearance and behaviour. We show that developmental conditions affect both adult Colour and Colour preference, with temperatures that simulate dry season conditions leading to browner butterflies with a perching preference for brown backgrounds. Our results reveal that coordinated environmentally-induced responses can increase effective seasonal anti-predatory strategies in species coping with environmental heterogeneity.
Jun Cao - One of the best experts on this subject based on the ideXlab platform.
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Colour fast cfast match fast affine template Matching for Colour images
Electronics Letters, 2016Co-Authors: Di Jia, Jun Cao, Weidong Song, Xiaoliang Tang, Hong ZhuAbstract:Fast-match is a fast and effective algorithm for template Matching. However, when Matching Colour images, the images are converted into greyscale images. The Colour information is lost in this process, resulting in errors in areas with distinctive Colours but similar greyscale values An improved fast-match algorithm that utilises all three RGB channels to construct Colour sum-of-absolute-differences (CSAD) is proposed, thus improving the sum-of-absolute-differences distance used in fast-match. In this algorithm, each pixel in the image is categorised by clustering them using density-based spatial clustering of applications with noise (DBSCAN) algorithm over the RGB vector, then the number of pixels in each category and the cumulative RGB values for each RGB channel are calculated to identify the centroid of each category. The RGB vector centroid is used as the CSAD decision criteria, and inverse of number of pixels in each category is used as the differentiating coefficient to construct a new similarity measure. Experiment results demonstrate that this algorithm has significant higher accuracy for Matching Colour images than the original fast-match algorithm.