TY - GEN
T1 - Salient object detection in digital images based on superpixels and intrinsic features
AU - Cuevas-Olvera, Marlon Alfonso
AU - Reyes-Reyes, Rogelio
AU - Ponomaryov, Volodymyr
AU - Cruz-Ramos, Clara
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/9
Y1 - 2018/7/9
N2 - Human visual system research and object detection in digital images have taken great relevance in the last years due to the different applications where it can be used, such as watermarking techniques to protect information, auto-focus on digital cameras, image compression, auto navigation, etc. This paper describes a saliency object detection method that uses intrinsic features of digital images: intensity, color, and texture. Also, Super Pixel Linear Iterative Clustering (SLIC) is employed to find the saliency object. The results have shown an accurate detection of the saliency object in digital images via comparison with well-known methods of the state-of-the-art. The results were evaluated through a subjective test using Mean Opinion Score (MOS).
AB - Human visual system research and object detection in digital images have taken great relevance in the last years due to the different applications where it can be used, such as watermarking techniques to protect information, auto-focus on digital cameras, image compression, auto navigation, etc. This paper describes a saliency object detection method that uses intrinsic features of digital images: intensity, color, and texture. Also, Super Pixel Linear Iterative Clustering (SLIC) is employed to find the saliency object. The results have shown an accurate detection of the saliency object in digital images via comparison with well-known methods of the state-of-the-art. The results were evaluated through a subjective test using Mean Opinion Score (MOS).
KW - human visual system
KW - intrinsic features
KW - salient object detection
KW - superpixels
KW - visual attention
UR - http://www.scopus.com/inward/record.url?scp=85050659510&partnerID=8YFLogxK
U2 - 10.1109/DESSERT.2018.8409199
DO - 10.1109/DESSERT.2018.8409199
M3 - Contribución a la conferencia
AN - SCOPUS:85050659510
T3 - Proceedings of 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies, DESSERT 2018
SP - 583
EP - 588
BT - Proceedings of 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies, DESSERT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE International Conference on Dependable Systems, Services and Technologies, DESSERT 2018
Y2 - 24 May 2018 through 27 May 2018
ER -