Insect Soup Challenge: Segmentation, Counting, and Simple Classification

Computer Vision Workshops(2013)

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摘要
In the paper we present a method for segmentation of insects from the Insect Soup images. The method enables reliable segmentation of insects of variable size, shape and color. After segmentation, a set of properties are assigned to each segmented insect which enables classification into different categories. The approach was successfully applied on two different types of real life images: images from the Insect Soup Challenge and images acquired from traps in the field using low resolution cameras.
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关键词
simple classification,segmented insect,real life image,reliable segmentation,variable size,low resolution camera,different type,insect soup image,insect soup challenge,different category,image resolution,image classification,image segmentation
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