Title :
Insect Soup Challenge: Segmentation, Counting, and Simple Classification
Author_Institution :
Riverside Life Sci. Centre, North Ryde, NSW, Australia
Abstract :
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.
Keywords :
cameras; image classification; image resolution; image segmentation; image acquisition; insect classification; insect counting; insect segmentation; insect soup challenge; insect soup images; insects segmentation; low resolution cameras; real life images; Extremities; Image color analysis; Image resolution; Image segmentation; Insects; Noise; Reliability;
Conference_Titel :
Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on
Conference_Location :
Sydney, NSW
DOI :
10.1109/ICCVW.2013.28