Intelligent scissors for image composition
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Indexing Flower Patent Images Using Domain Knowledge
IEEE Intelligent Systems
Automatic Recognition of Blooming Flowers
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
A Visual Vocabulary for Flower Classification
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Automated Flower Classification over a Large Number of Classes
ICVGIP '08 Proceedings of the 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing
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In this paper a novel approach for identification of whorl part of flowers useful for flower classification is presented. The problem is challenging because of the sheer variety of flower classes, intra-class variability, variation within a particular flower, and variability of imaging conditions like lighting, pose, foreshortening etc. A flower image is segmented using color information obtained using HYPE's color specifier. To identify the whorl of flowers the Gabor response of the segmented flower image is extracted and based on the Gabor response we present a method of identifying the whorl part of the flower. For experimentation we have created our own dataset of 20 classes of flowers each with 20 samples. To study the efficiency of the proposed method we have compared the obtained results with the results provided by two human experts and the results are more encouraging.