Automatic Recognition of Blooming Flowers
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Evaluation of Model-Based Interactive Flower Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Performance Evaluation of Teeth Image Recognition System Based on Difference Image Entropy
ICCIT '08 Proceedings of the 2008 Third International Conference on Convergence and Hybrid Information Technology - Volume 02
Multi-target tracking for flower counting using adaptive motion models
Computers and Electronics in Agriculture
An OOPR-based rose variety recognition system
Engineering Applications of Artificial Intelligence
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Conventional flower or leaf recognition studies have some restrictions and limitations. These include a sharp drop in recognition rate due to the varying positions and number of relevant objects in the original object image. Hence, this paper suggests and implements a mobile-based flower recognition system using Difference Image Entropy (DIE) and contour features of the flower from the original image with multiflower objects. In system framework includes 1) WiBro Net.- based transmission and designation module of the relevant flower object by drawing the flower region of the user's interest, 2) contour feature extraction module, and 3) DIE-based flower recognition module. The system was evaluated using ten species of flowers with each ten samples. Experimental results achieved an optimum average recognition rate of 95% and average response run-time of 9,033ms, for a set of ten images per species.