Morphological features for leaf based plant recognition

Aptoula, Erchan and Yanıkoğlu, Berrin (2013) Morphological features for leaf based plant recognition. In: 20th IEEE International Conference on Image Processing (ICIP 2013), Melbourne, Australia

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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.
Item Type: Papers in Conference Proceedings
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Berrin Yanıkoğlu
Date Deposited: 18 Feb 2014 16:15
Last Modified: 26 Apr 2022 09:15

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