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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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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