Abstract
The extraction of certain characteristics points such as color edge, inflection points, etc., is an imaging problem which requires urgent attention. This paper proposes a similar color segment algorithm. The algorithm is analyzed in different color distribution situations, and the extraction effect to the color is shown. Additionally, experimental analysis of the algorithms is provided. Experimental results indicate that the similar color segment algorithm performs better than existing algorithms in relation to a more obvious color edge, as it has better edge detection, stronger anti-noise ability, a faster processing speed and other advantages. Moreover, this paper compares the proposed algorithm to existing classical feature extraction algorithms.
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References
Ilbeygi, M., Shah-Hosseini, H.: A novel fuzzy facial expression recognition system based on facial feature extraction from color face images. Eng. Appl. Artif. Intell. 25, 130–146 (2012)
Aydin, D., Uğur, A.: Extraction of flower regions in color images using ant colony optimization. Procedia Comput. Sci. 3, 530–536 (2011)
Chen, J., Bao, Q.F.: Digital image processing based fire flame color and oscillation frequency analysis. Procedia Eng. 45, 595–601 (2012)
Lissner, I., Urban, P.: Toward a unified color space for perception-based image processing. IEEE Trans. Image Process. 21, 1153–1168 (2012)
Gu, J.P., Hua, L., Wu, X., Yang, H., Zhou, Z.T.: Color medical image enhancement based on adaptive equalization of intensity numbers matrix histogram. Int. J. Autom. Comput. 12(5), 551–558 (2015)
Kim, H.T., Cho, K.Y., Kim, S.T., Kim, J., Jin, K.C.: Quick light mixing of multiple color sources for image acquisition using pattern search. Int. J. Precis. Eng. and Manuf. 16(11), 2353–2358 (2015)
Smith, S.M.: Susan–a new approach to low level image processing. Int. J. Comput. Vis. 23, 45–78 (1997)
Jukić, A., Kopriva, I., Cichocki, A.: Noninvasive diagnosis of melanoma with tensor decomposition-based feature extraction from clinical color image. Biomed. Signal Process. Control 8, 755–763 (2013)
Xie, X.Z., Wu, J.T., Jing, M.G.: Fast two-stage segmentation via non-local active contours in multiscale texture feature space. Pattern Recogn. Lett. 34, 1230–1239 (2013)
Atif, J., Hudelot, C., Bloch, I.: Explanatory reasoning for image understanding using formal concept analysis and description logics. IEEE Trans. Syst. Man Cybern. B Cybern. Syst. 12, 1–19 (2013)
Hasanzadeh, R.P.R., Daneshvar, M.B.: A novel image noise reduction technique based on hysteresis processing. Int. J. for Light and Electron. Opt. 126(21), 3039–3046 (2015)
Yuan, C., Qin, Y., Zhang, M., Zhang, H.F., Jiao, S.Y., Li, B.C.: A new method of testing and evaluating the quality of refined montan wax: digital color and gc fingerprint. Chromatographia. 78, 1283–1292 (2015)
Kalra, G.S., Talwar, R., Sadawarti, H.: Adaptive digital image watermarking for color images in frequency domain. Multimed. Tools Appl. 74, 6849–6869 (2015)
Acknowledgement
This work is supported by Henan Province Outstanding Youth on Science and Technology Innovation (No: 164100510017); National Key Project (No: 613237); Project of Henan Province Science and Technology (No: 142300410247); Key Project of Henan Province Education Department (No: 14A413002, 12A520049); Project of Zhengzhou Science and Technology (No: 131PPTGG411–4), respectively.
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© 2016 Springer Science+Business Media Singapore
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Han, ZY., Gu, DH., Wu, QE. (2016). Feature Extraction for Color Images. In: Hussain, A. (eds) Electronics, Communications and Networks V. Lecture Notes in Electrical Engineering, vol 382. Springer, Singapore. https://doi.org/10.1007/978-981-10-0740-8_25
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DOI: https://doi.org/10.1007/978-981-10-0740-8_25
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