Texture Feature Extraction Using Local Optimal Oriented Pattern (LOOP)
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-56700-1_32
Reference13 articles.
1. NarainPonraj, D., Christy, E., Aneesha, G., Susmitha, G., Sharu, M.: Analysis of LBP and LOOP based textural feature extraction for the classification of CT lung images. In: 2018 4th International Conference on Devices, Circuits and Systems (ICDCS), pp. 309–312. IEEE (2018)
2. Ke-Chen, S., Yun-Hui, Y.A.N., Wen-Hui, C.H.E.N., Zhang, X.: Research and perspective on local binary pattern. Acta Automatica Sinica 39(6), 730–744 (2013)
3. Aminu, A.A., Agwu, N.N.: General purpose image tempering detection using convolutional neural network and local optimal oriented pattern. Signal Image Process.: Int. J. 12(2), 13–32 (2021)
4. Chakraborti, T., McCane, B., Mills, S., Pal, U.: LOOP descriptor: local optimal-oriented pattern. IEEE Signal Process. Lett. 25(5), 635–639 (2018)
5. Hadid, A.: The local binary pattern approach and its applications to face analysis. In: First Workshops on Image Processing Theory, Tools and Applications (IPTA) - Sousse, Tunisia. IEEE (2008)
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