Paper
8 June 2012 Petals' shape descriptor for blooming flowers recognition
Wooi-Nee Tan, Yi-Fei Tan, Ah-Choo Koo, Yan-Peng Lim
Author Affiliations +
Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83343K (2012) https://doi.org/10.1117/12.966367
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia
Abstract
This paper proposes a new descriptor to identify the petals' shape of a blooming flower based on the digital images captured in natural scene. The proposed descriptor can be used as one of features in computer aided flower recognition system beside the commonly used features such as number of petals and color. Experiments were conducted on the Malaysia flowers with same number of petals and with similar color across different species of flowers. 35 images from 7 species were used as the training set to set up the reference values of petals' shape descriptor and 7 new images were used as the testing set. The descriptor calculated from the testing set is then compared to the reference values from the training set to achieve the flowers recognition purpose. With the given set of data, complete success in full identification rate was obtained.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wooi-Nee Tan, Yi-Fei Tan, Ah-Choo Koo, and Yan-Peng Lim "Petals' shape descriptor for blooming flowers recognition", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83343K (8 June 2012); https://doi.org/10.1117/12.966367
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Cited by 5 scholarly publications.
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KEYWORDS
Shape analysis

Bismuth

Digital image processing

Feature extraction

Chromium

Image processing

Multimedia

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