JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
A Study on Visual Saliency Detection in Infrared Images Using Boolean Map Approach |
| 영문제목(English Title) |
A Study on Visual Saliency Detection in Infrared Images Using Boolean Map Approach |
| 저자(Author) |
Mai Thanh Nhat Truong
Sanghoon Kim
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| 원문수록처(Citation) |
VOL 16 NO. 05 PP. 1183 ~ 1195 (2020. 10) |
한글내용
(Korean Abstract) |
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영문내용
(English 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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| 키워드(Keyword) |
Boolean Map
Infrared Image
Saliency Detection
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| 파일첨부 |
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