In this paper, we propose the horizontal line detection using the Haar-like features and linear regression in infrared images. In the marine environment horizon image is very useful information on a variety of systems. In the proposed method Haar-like features it was noted that the standard deviation be calculated in real time on a static area. Based on the pixel position, calculating the standard deviation of the around area in real time and, if the reaction is to filter out the largest pixel can get the energy map of the area containing the straight horizontal line. In order to select a horizontal line of pixels from the energy map, we applied the linear regression, calculating a linear fit to the transverse horizontal line across the image to select the candidate optimal horizontal. The proposed method was carried out in a horizontal line detecting real infrared image experiment for day and night, it was confirmed the excellent detection results than the legacy methods.
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@article{ART002064489}, author={박병선 and 김재협}, title={The horizontal line detection method using Haar-like features and linear regression in infrared images}, journal={Journal of The Korea Society of Computer and Information}, issn={1598-849X}, year={2015}, volume={20}, number={12}, pages={29-36}
TY - JOUR AU - 박병선 AU - 김재협 TI - The horizontal line detection method using Haar-like features and linear regression in infrared images JO - Journal of The Korea Society of Computer and Information PY - 2015 VL - 20 IS - 12 PB - The Korean Society Of Computer And Information SP - 29 EP - 36 SN - 1598-849X AB - In this paper, we propose the horizontal line detection using the Haar-like features and linear regression in infrared images. In the marine environment horizon image is very useful information on a variety of systems. In the proposed method Haar-like features it was noted that the standard deviation be calculated in real time on a static area. Based on the pixel position, calculating the standard deviation of the around area in real time and, if the reaction is to filter out the largest pixel can get the energy map of the area containing the straight horizontal line. In order to select a horizontal line of pixels from the energy map, we applied the linear regression, calculating a linear fit to the transverse horizontal line across the image to select the candidate optimal horizontal. The proposed method was carried out in a horizontal line detecting real infrared image experiment for day and night, it was confirmed the excellent detection results than the legacy methods. KW - Horizontal line;Horizontal detection;Haar-like feature;linear regression DO - UR - ER -
박병선 and 김재협. (2015). The horizontal line detection method using Haar-like features and linear regression in infrared images. Journal of The Korea Society of Computer and Information, 20(12), 29-36.
박병선 and 김재협. 2015, "The horizontal line detection method using Haar-like features and linear regression in infrared images", Journal of The Korea Society of Computer and Information, vol.20, no.12 pp.29-36.
박병선, 김재협 "The horizontal line detection method using Haar-like features and linear regression in infrared images" Journal of The Korea Society of Computer and Information 20.12 pp.29-36 (2015) : 29.
박병선, 김재협. The horizontal line detection method using Haar-like features and linear regression in infrared images. 2015; 20(12), 29-36.
박병선 and 김재협. "The horizontal line detection method using Haar-like features and linear regression in infrared images" Journal of The Korea Society of Computer and Information 20, no.12 (2015) : 29-36.
박병선; 김재협. The horizontal line detection method using Haar-like features and linear regression in infrared images. Journal of The Korea Society of Computer and Information, 20(12), 29-36.
박병선; 김재협. The horizontal line detection method using Haar-like features and linear regression in infrared images. Journal of The Korea Society of Computer and Information. 2015; 20(12) 29-36.
박병선, 김재협. The horizontal line detection method using Haar-like features and linear regression in infrared images. 2015; 20(12), 29-36.
박병선 and 김재협. "The horizontal line detection method using Haar-like features and linear regression in infrared images" Journal of The Korea Society of Computer and Information 20, no.12 (2015) : 29-36.