원문정보
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초록
영어
To address the problem of detecting the specific object of flame, this paper proposes quaternion discrete cosine transform based video flame detection algorithm in conjunction with the bottom-up visual attention mechanisms and the flame features. According to the characteristics of the flame to be detected, the brightness, color, texture and motion information of the image are respectively defined and extracted to form a quaternion image, and then the flame saliency map is produced by Quaternion discrete cosine Transform with this quaternion image. Extensive experimental results verify the accuracy and robustness of the proposed method on flame detection.
목차
Abstract
1. Introduction
2. The QDCT Model
2.1. Quaternion Representation of an Image
2.2. The Quaternion Discrete Cosine Transform (QDCT)
3. The Fire Detection Method Based on QDCT Model
3.1. The Information of the Four Channels
3.2. The Quaternion Flame Image
4. The Experimental Results and Analysis
5. Conclusions
Acknowledgments
References
1. Introduction
2. The QDCT Model
2.1. Quaternion Representation of an Image
2.2. The Quaternion Discrete Cosine Transform (QDCT)
3. The Fire Detection Method Based on QDCT Model
3.1. The Information of the Four Channels
3.2. The Quaternion Flame Image
4. The Experimental Results and Analysis
5. Conclusions
Acknowledgments
References
저자정보
참고문헌
자료제공 : 네이버학술정보