A Colorful RMB Number Image Segmentation Algorithm Based on the HSI Space and Improved C-means Cluster

MIN Jing-yan; CHEN Hong-bing

doi:10.3969/j.issn.1003-501x.2012.01.020

Journals >Opto-Electronic Engineering >Volume 39 >Issue 1 >Page 119 > Article

Opto-Electronic Engineering
Vol. 39, Issue 1, 119 (2012)

A Colorful RMB Number Image Segmentation Algorithm Based on the HSI Space and Improved C-means Cluster

MIN Jing-yan^* and CHEN Hong-bing

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[in Chinese]

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DOI: 10.3969/j.issn.1003-501x.2012.01.020 Cite this Article

MIN Jing-yan, CHEN Hong-bing. A Colorful RMB Number Image Segmentation Algorithm Based on the HSI Space and Improved C-means Cluster[J]. Opto-Electronic Engineering, 2012, 39(1): 119 Copy Citation Text

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References

[5] HUANG Z K，LIU D H. Segmentation of color image using EM algorithm in HSV color space [C]//Proceedings of IEEE International Conference on Information Acquisition，Jeju Island，Korea，2007 July. United States：Piscataway，2007： 316-319.

[7] LIU Fang. The new image segmentation algorithm using adaptive evolutionary programming and fuzzy C-means clustering[C]// Proceedings of SPIE -The International Society for Optical Engineering，Orlando，FL，United states，April 26-27， 2011. United States：WA，2011：723-725.

[11] Balafar M A，Ramli A R，Saripan M I，et al. Medical image segmentation using fuzzy C-mean (FCM) and dominant grey levels of image[C]// 5th International Conference on Visual Information Engineering，Xi'an，China，July 29-August 1，2008. United Kingdom：Institution of Engineering and Technology，2008：314-317.

MIN Jing-yan, CHEN Hong-bing. A Colorful RMB Number Image Segmentation Algorithm Based on the HSI Space and Improved C-means Cluster[J]. Opto-Electronic Engineering, 2012, 39(1): 119

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