Developing a system for classification of flowers is a difficult task because of considerable similarities among different
classes and also due to large intra-class variations. In a real environment, images of flowers are often taken in natural outdoor
scenes, where the lighting condition varies with the weather and time. In addition, flowers are often more or less transparent,
and specula highlights can make the flower appear light or even white, causing illumination problems. Also, there is lot more
variation in viewpoint, occlusions, and scale of flower images. All these problems lead to a confusion across classes and make
the task of flower classification more challenging. In addition, the background also makes the problem difficult, as a flower
has to be segmented automatically.
Applications of classification of flowers
Developing a system for classification of flowers is a difficult task because of considerable similarities among differentclasses and also due to large intra-class variations. In a real environment, images of flowers are often taken in natural outdoorscenes, where the lighting condition varies with the weather and time. In addition, flowers are often more or less transparent,and specula highlights can make the flower appear light or even white, causing illumination problems. Also, there is lot morevariation in viewpoint, occlusions, and scale of flower images. All these problems lead to a confusion across classes and makethe task of flower classification more challenging. In addition, the background also makes the problem difficult, as a flowerhas to be segmented automatically.Applications of classification of flowers
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