A Study on Visual Saliency Detection in Infrared Images Using Boolean Map Approach

Mai Thanh Nhat Truong; Sanghoon Kim

A Study on Visual Saliency Detection in Infrared Images Using Boolean Map Approach

Mai Thanh Nhat Truong, Sanghoon Kim, Journal of Information Processing Systems Vol. 16, No. 5, pp. 1183-1195, Oct. 2020

https://doi.org/10.3745/JIPS.02.0145
Keywords: Boolean Map, infrared image, Saliency detection
Fulltext:

Abstract

Visual saliency detection is an essential task because it is an important part of various vision-based applications. There are many techniques for saliency detection in color images. However, the number of methods for saliency detection in infrared images is limited. In this paper, we introduce a simple approach for saliency detection in infrared images based on the thresholding technique. The input image is thresholded into several Boolean maps, and an initial saliency map is calculated as a weighted sum of the created Boolean maps. The initial map is further refined by using thresholding, morphology operation, and a Gaussian filter to produce the final, highquality saliency map. The experiment showed that the proposed method has high performance when applied to real-life data.

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Cite this article

[APA Style]

Truong, M. & Kim, S. (2020). A Study on Visual Saliency Detection in Infrared Images Using Boolean Map Approach. Journal of Information Processing Systems, 16(5), 1183-1195. DOI: 10.3745/JIPS.02.0145.

[IEEE Style]

M. T. N. Truong and S. Kim, "A Study on Visual Saliency Detection in Infrared Images Using Boolean Map Approach," Journal of Information Processing Systems, vol. 16, no. 5, pp. 1183-1195, 2020. DOI: 10.3745/JIPS.02.0145.

[ACM Style]

Mai Thanh Nhat Truong and Sanghoon Kim. 2020. A Study on Visual Saliency Detection in Infrared Images Using Boolean Map Approach. Journal of Information Processing Systems, 16, 5, (2020), 1183-1195. DOI: 10.3745/JIPS.02.0145.