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RETRACTED CHAPTER: Dominant Color Palette Extraction by K-Means Clustering Algorithm and Reconstruction of Image

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Data Engineering and Communication Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1079))

Abstract

In our present age, there are numerous applications and devices for converting a standard picture into a picture, which is built from its predominant shading palettes. ‘predominant colors’ are the hues in the picture, in which the pixels of the picture contain the particular shading. These hues are then removed and another picture is then framed from this picture. However, this is just a speculation of the issue. In this undertaking, we dive into much more proficient techniques with a specific end goal to remove the prevailing shading palettes from the picture. In this manner, utilizing a grouping calculation and a significantly more ideal instatement technique, effective shading palette is extracted. The grouping calculation being utilized here is K-implies bunching calculations which is much more effective calculation than the other bunching calculations out there. The bunching calculation groups the pixels in bunches in view of their shading. The palettes separated from the picture are then utilized and another picture is reproduced.

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Change history

  • 11 March 2024

    A correction has been published.

References

  1. Bellot, P., El-Beze, M.: A clustering method for information retrieval (technical report IR-0199). Laboratoired ‘Informatiqued’ Avignon, France

    Google Scholar 

  2. MacQueen, J.B.: On convergence of k-means and partitions with minimum average variance. Annals of Mathematical Statistics, Abstract only E. Vidal, vol. 36, pp. 1084 (1986)

    Google Scholar 

  3. Wong, K.M., Po, L.M., Cheung, K.W.: Dominant color structure descriptor for image retrieval. In: 2007 IEEE international conference on image processing, IEEE, vol. 6, pp. VI-365. Sep 2007

    Google Scholar 

  4. Hsieh, S., Fan, K.C.: An adaptive clustering algorithm for color quantization. Pattern Recogn. Lett. 21(4), 337–346 (2000)

    Article  Google Scholar 

  5. Semmo, A., Limberger, D., Kyprianidis, J.E., Döllner, J.: Image stylization by oil paint filtering using color palettes. In: Proceedings of the workshop on computational aesthetics, Eurographics Association, pp 149–158. June 2015

    Google Scholar 

  6. Smith, J.R., Chang, S.F.: Single color extraction and image query. In: Proceedings of international conference on image processing, IEEE, vol. 3, pp. 528–531. Oct 1995

    Google Scholar 

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Correspondence to K. Govinda .

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Pavan Kumar, I., Hara Gopal, V.P., Ramasubbareddy, S., Nalluri, S., Govinda, K. (2020). RETRACTED CHAPTER: Dominant Color Palette Extraction by K-Means Clustering Algorithm and Reconstruction of Image. In: Raju, K.S., Senkerik, R., Lanka, S.P., Rajagopal, V. (eds) Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 1079. Springer, Singapore. https://doi.org/10.1007/978-981-15-1097-7_78

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