Aptive Image Segmentation based on Saliency Detection
By:
References
- Xingting Gao, Sattar F, and Venkateswarlu R. Multiscale corner detection of gray level images based on log-Gabor wavelet transform, Circuits and Systems for Video Technology, IEEE Transactions on, vol.17, pp. 868-875, 2007.
- He X C, Yung N H C. Curvature scale space corner detector with adaptive threshold and dynamic region of support[C]//Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on. IEEE, pp. 791-794, 2004.
- A Nachar, R.; Inaty, et al.,A robust edge based corner detector, 2014 17th IEEE Mediterranean Electro-technical Conference (MELECON), pp.242-246, 2014.
- Saxena A, Sun M and Ng A Y. Make 3d: Learning 3d scene structure from a single still image, Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 31, pp. 824-840, 2009.
- Zhu Feng, Feng Yiping, et al., Information integration strategy of the petrochemical industry from the multi-scale perspective, 2013 10th IEEE International Conference on Control and Automation (ICCA), pp.1284-1289, 2013.
- He C., et al., Local Topographic Shape Patterns for Texture Description, IEEE Signal Processing Letters, vol. 22, no.7, pp. 871 - 875, 2015.
- Lowe D.G. Distinctive image features from scale-invariant key points, Proceedings of International journal of computer vision, 2004, 60(2): 91-110.
- Kisku, Dakshina Ranjan et al., Face image abstraction by Ford-Fulkerson algorithm and invariant feature descriptor for human identification, 2014 International Carnahan Conference on Security Technology (ICCST), pp.1-4,2014..
- Andrea Perna, Michela Tosetti, Domenico Montanaro, et al. BOLD response to spatial phase congruency in human brain, Vision of Journal, 2008, 8(10):1-15.
- Linda Henriksson, Aapo Hyvarinen, Simo Vanni. Representation of Cross-Frequency Spatial Phase Relationships in Human Visual Cortex, the Journal of Neuroscience, 2009, 29(45):14342-14351.
- S Dustin, E. Stansbury, Thomas Naselaris, Jack L. Gallant, Natural Scene Statistics Account for the Representation of Scene Categories in Human Visual Cortex, Neuron, vol. 79, no. 5, pp. 1025– 1034, 2013.
- Michael Felsberg, Gerald Sommer, The monogenic signal, IEEE Transactions on Signal Processing, vol. 49, pp. 3136-3144, 2011.
- N. Tamayo, V.J. Traver, Entropy-based Saliency Computation in Log-polar Images, 3rd International Conference on Computer Vision Theory and Applications, Madeira, Portugal, pp. 501506, 2008.
- G. Backer, B. Mertsching. Two selection stages provide efficient object based intentional control for dynamic vision, International Workshop on Attention and Performance in Computer Vision, pp. 9-16, 2003,
- Wei Wei, Shen Xuanjing, Qianqingji.et al. Thresholding algorithm based on three-dimensional Renyi’s entropy, Journal of Jilin University (Engineering and Technology Edition), 41(4):1083-1088, 2011.
- Mingming Cheng, Guoxin Zhang, Niloy J. Mitra, et al. Global Contrast based Salient Region Detection , IEEE CVPR, Colorado Springs, vol. 21-23, pp. 409-416, 2011.
- Huanbing Gao, Shouyin Lu, Guohui Tian, Jindong Tan, Vision-integrated physiotherapy service robot using cooperating two arms, International Journal on Smart Sensing and Intelligent Systems, vol.7, no.3, pp.1024 – 1043, 2014.
- Archana S. Ghotkar and Dr. Gajanan K. Kharate, Study of vision based hand gesture recognition using Indian sign language, International Journal on Smart Sensing and Intelligent Systems, vol.7, no.1, pp. 96 – 115, 2014.
DOI: https://doi.org/10.21307/ijssis-2017-765 | Journal eISSN: 1178-5608
Language: English
Page range: 408 - 428
Submitted on: Oct 3, 2014
Accepted on: Jan 20, 2015
Published on: Mar 1, 2015
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
Related subjects:
© 2015 Shui Linlin, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.