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- W2078165051 abstract "Although plant recognition has become an increasingly popular research topic, it remains nonetheless a scientific and technical challenge. Besides all the difficulties of classic object recognition, such as illumination, viewpoint and scale variations, plants can additionally exhibit visual changes depending on their age and condition, thus demanding a specialized approach. In this paper, we present two descriptors based on mathematical morphology; the first consists of the computation of morphological covariance on the leaf contour profile and the second is an extension of the recently introduced circular covariance histogram, capturing leaf venation characteristics. The effectiveness of both descriptors has been validated with the ImageClef'12 plant identification dataset." @default.
- W2078165051 created "2016-06-24" @default.
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- W2078165051 date "2013-09-01" @default.
- W2078165051 modified "2023-09-26" @default.
- W2078165051 title "Morphological features for leaf based plant recognition" @default.
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- W2078165051 doi "https://doi.org/10.1109/icip.2013.6738307" @default.
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