Abstract
In this paper, we introduce a novel approach to recognize stem-calyx of an apple using multifractal dimension. Our method comprises of steps such as preprocessing using bilateral filter, segmentation of apple using grow-cut method, multi-threshold segmentation is used to detect the candidate objects such as stem-calyx and small defects. The shape features of the detected candidate objects are extracted using Multifractal dimension and finally stem-calyx regions are recognized and differentiated from true defects using SVM classifier. The proposed algorithm is evaluated using experiments conducted on apple image dataset and results exhibit considerable improvement in recognition of stem-calyx region compared to existing techniques.
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Mohana, S.H., Prabhakar, C.J. (2015). Extraction of Shape Features Using Multifractal Dimension for Recognition of Stem-Calyx of an Apple. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 328. Springer, Cham. https://doi.org/10.1007/978-3-319-12012-6_39
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DOI: https://doi.org/10.1007/978-3-319-12012-6_39
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12011-9
Online ISBN: 978-3-319-12012-6
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