Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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A Study on Visual Saliency Detection in Infrared Images Using Boolean Map Approach

  • Truong, Mai Thanh Nhat (Dept. of Electrical, Electronic, and Control Engineering, Hankyong National University) ;
  • Kim, Sanghoon (Dept. of Electrical, Electronic, and Control Engineering, Hankyong National University)
  • Received : 2018.10.01
  • Accepted : 2019.06.29
  • Published : 2020.10.31
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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, high-quality saliency map. The experiment showed that the proposed method has high performance when applied to real-life data.

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