Feature Extraction Method for Wheat Diseases Based on Multi-fractal Spectrum
Available Online March 2013.
- https://doi.org/10.2991/iccsee.2013.765How to use a DOI?
- Wheat diseases, Multi-wavelet transform, Multi-fractal spectrum, Feature extraction, shape feature
- Wheat diseases image noise was effectively removed using lifting scheme multi-wavelet transform and multi-fractal analysis, and then it used multi-fractal theory to segment diseases image and extract eight multi-fractal spectrum values as wheat shape feature of diseases. Experiments showed that the shape characteristic value of different wheat diseases had great difference, and the shape characteristic value of similar diseases had certain regularity. Therefore, it could extract shape characteristic value to recognize wheat diseases.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Feiyun Zhang PY - 2013/03 DA - 2013/03 TI - Feature Extraction Method for Wheat Diseases Based on Multi-fractal Spectrum BT - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) PB - Atlantis Press SP - 3049 EP - 3052 SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.765 DO - https://doi.org/10.2991/iccsee.2013.765 ID - Zhang2013/03 ER -