• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Target Segmentation in Non-homogeneous Infrared Images using a PCA Plane and an Adaptive Gaussian Kernel


Abstract

We propose an efficient method of extracting targets within a region of interest in non-homogeneous infrared images by using a principal component analysis (PCA) plane and adaptive Gaussian kernel. Existing approaches for extracting targets have been limited to using only the intensity values of the pixels in a target region. However, it is difficult to extract the target regions effectively because the intensity values of the target region are mixed with the background intensity values. To overcome this problem, we propose a novel PCA based approach consisting of three steps. In the first step, we apply a PCA technique minimizing the total least-square errors of an IR image. In the second step, we generate a binary image that consists of pixels with higher values than the plane, and then calculate the second derivative of the sum of the square errors (SDSSE). In the final step, an iteration is performed until the convergence criteria is met, including the SDSSE, angle and labeling value. Therefore, a Gaussian kernel is weighted in addition to the PCA plane with the non-removed data from the previous step. Experimental results show that the proposed method achieves better segmentation performance than the existing method.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
Y. M. Kim, K. T. Park, Y. S. Moon, "Target Segmentation in Non-homogeneous Infrared Images using a PCA Plane and an Adaptive Gaussian Kernel," KSII Transactions on Internet and Information Systems, vol. 9, no. 6, pp. 2302-2316, 2015. DOI: 10.3837/tiis.2015.06.019.

[ACM Style]
Yong Min Kim, Ki Tae Park, and Young Shik Moon. 2015. Target Segmentation in Non-homogeneous Infrared Images using a PCA Plane and an Adaptive Gaussian Kernel. KSII Transactions on Internet and Information Systems, 9, 6, (2015), 2302-2316. DOI: 10.3837/tiis.2015.06.019.

[BibTeX Style]
@article{tiis:20822, title="Target Segmentation in Non-homogeneous Infrared Images using a PCA Plane and an Adaptive Gaussian Kernel", author="Yong Min Kim and Ki Tae Park and Young Shik Moon and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2015.06.019}, volume={9}, number={6}, year="2015", month={June}, pages={2302-2316}}