Visible models for interactive pattern recognition
Pattern Recognition Letters
Delving deeper into the whorl of flower segmentation
Image and Vision Computing
Mobile-based flower recognition system
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Flower image recognition using difference image entropy
Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
Whorl identification in flower: a Gabor based approach
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
An interactive flower image recognition system
Multimedia Tools and Applications
A parametric active polygon for leaf segmentation and shape estimation
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Textural features in flower classification
Mathematical and Computer Modelling: An International Journal
Understanding leaves in natural images - A model-based approach for tree species identification
Computer Vision and Image Understanding
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This paper describes an automatic method for recognizing a blooming flower based on a photograph taken with a digital camera in natural scene. The problem of identifying an object against the background is known to be difficult. In this paper, we employ a photograph where the object (a blooming flower) is focused but the background is defocused. For extracting a flower region, we propose a new method that extracts a boundary by selecting a route with minimizing a sum of the local cost divided by the route length. Experiments were conducted for 600 pictures (20 pictures each for 30 species). A successful boundary extraction rate of 97% and a flower recognition rate of 90% were obtained.