Nowadays an increasing number of people own mobile phones with built-in camera, able to take pictures. Thus, having a fast and fully automatic algorithm of image retrieval is considered a promising way to identify plant leaves on a mobile device. Our solution proposes a Support Vector Machine that provides a multi-class probability estimation with radial basis function kernel based on two descriptors: PHOG and a vari- ant of HAAR. With our method we placed seventh among all the fully automatic methods who participated in the ImageCLEF Plant Identi- cation 2012
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关键词
Support Vector Machines,Plant Disease Detection,Change Detection,Content-Based Image Retrieval,Image Analysis