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Sensors 2017, 17(8), 1811; doi:10.3390/s17081811

Thermal Infrared Pedestrian Image Segmentation Using Level Set Method

1
School of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
2
School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China
*
Author to whom correspondence should be addressed.
Received: 7 July 2017 / Revised: 1 August 2017 / Accepted: 3 August 2017 / Published: 6 August 2017
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Abstract

The edge-based active contour model has been one of the most influential models in image segmentation, in which the level set method is usually used to minimize the active contour energy function and then find the desired contour. However, for infrared thermal pedestrian images, the traditional level set-based method that utilizes the gradient information as edge indicator function fails to provide the satisfactory boundary of the target. That is due to the poorly defined boundaries and the intensity inhomogeneity. Therefore, we propose a novel level set-based thermal infrared image segmentation method that is able to deal with the above problems. Specifically, we firstly explore the one-bit transform convolution kernel and define a soft mark, from which the target boundary is enhanced. Then we propose a weight function to adaptively adjust the intensity of the infrared image so as to reduce the intensity inhomogeneity. In the level set formulation, those processes can adaptively adjust the edge indicator function, from which the evolving curve will stop at the target boundary. We conduct the experiments on benchmark infrared pedestrian images and compare our introduced method with the state-of-the-art approaches to demonstrate the excellent performance of the proposed method. View Full-Text
Keywords: thermal pedestrian images; active contour model; level set method; one-bit transform; edge indicator function thermal pedestrian images; active contour model; level set method; one-bit transform; edge indicator function
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Qiao, Y.; Wei, Z.; Zhao, Y. Thermal Infrared Pedestrian Image Segmentation Using Level Set Method. Sensors 2017, 17, 1811.

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