A Study on Visual Saliency Detection in Infrared Images Using Boolean Map Approach
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초록
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 saliencydetection in infrared images is limited. In this paper, we introduce a simple approach for saliency detection ininfrared 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 isfurther refined by using thresholding, morphology operation, and a Gaussian filter to produce the final, highqualitysaliency map. The experiment showed that the proposed method has high performance when applied toreal-life data.
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 saliencydetection in infrared images is limited. In this paper, we introduce a simple approach for saliency detection ininfrared 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 isfurther refined by using thresholding, morphology operation, and a Gaussian filter to produce the final, highqualitysaliency map. The experiment showed that the proposed method has high performance when applied toreal-life data.
참고문헌 (19)
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