Segmentation of camera-trap tiger images based on texture and color features

In this paper we propose a method to obtain the region of interest in a camera-trap tiger image so that it can be used for identification of the tiger in later stage. We use a combination of texture and color features to discriminate the tiger from the background. Based on these features, a level se...

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Bibliographic Details
Main Authors: Reddy, K. P. K., Aravind, R.
Format: Conference Proceeding
Language:English
Subjects:
Equations
Feature extraction
Image color analysis
Image segmentation
Morphological operations
Smoothing methods
Tensile stress
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Summary:In this paper we propose a method to obtain the region of interest in a camera-trap tiger image so that it can be used for identification of the tiger in later stage. We use a combination of texture and color features to discriminate the tiger from the background. Based on these features, a level set based active contour segmentation is performed. A series of morphological operation are then performed on the segmented result to obtain the desired region of interest. The experimental results show the effectiveness of the proposed algorithm.
DOI:10.1109/NCC.2012.6176908