一种半调图像分类识别算法

doi:10.3969/j.issn.1001-2400.2011.05.009

J4 ›› 2011, Vol. 38 ›› Issue (5): 52-58+183.doi: 10.3969/j.issn.1001-2400.2011.05.009

• Original Articles • Previous Articles Next Articles

Classification and recognition algorithm for the halftone image

KONG Yueping^1,3;ZENG Ping²;ZHANG Yuepeng³

(1. School of Info. and Control, Xi’an Univ. of Architecture and Tech., Xi’an 710055，China;
2. Research Inst. of Computer Peripherals, Xidian Univ., Xi'an 710071， China;
3. Xi'an Research Inst. of Survey and Mapping, Xi'an 710054， China)

Received:2010-06-24 Online:2011-10-20 Published:2012-01-14
Contact: KONG Yueping E-mail:annie_kyp@sina.com

Abstract

Abstract:

After analyzing the influences of quality on inverse halftoning, the research on how to classify the halftone has gone into our view. Using the Self-correlation Function of one-dimension, the Grey Level Co-ocurrence Matrices(GLCM) and the Grey Run-length Matrices(GLRM) the periodic and texture features of the halftoning image are discovered. Based on these properties a new classification algorithm for usual halftones is proposed. Experimental results indicate that the average rate of correct recognition has reached 99%. The new algorithm not only solves the application problem for Estimated-Inverse-Halftoning, but also makes a basic of design and optimization for inverse halftoning.

Key words: halftoning image, image feature, image classification

CLC Number:

TN911.73

KONG Yueping;ZENG Ping;ZHANG Yuepeng. Classification and recognition algorithm for the halftone image[J].J4, 2011, 38(5): 52-58+183.

References

［1］ Hein S, Zakhor A. Halftoning to Continuous-tone Conversion of Error-diffusion Coded images［J］. IEEE Trans on Image Processing, 1995, 4(2): 208-216.
［2］ Wong P W. Inverse Halftoning and Kernel Estimation for Error Diffusion［J］. IEEE Trans on Image Processing, 1995, 4(4): 486-498.
［3］ Stevenson R L. Inverse Halftoning Via MAP Eestimation［J］. IEEE Trans on Image Processing, 1997, 6(4): 574-583.
［4］ Xiong Z, Orchard M T, Ramchandran K. Inverse Halftoning Using Wavelet［J］. IEEE Trans on Image Processing, 1999, 8(10): 1479-1483.
［5］ Shen M Y, Jay Kuo C C. A Robust Nonlinear Filtering Approach to Inverse Halftoning［J］. Journal of Visual Communication and Image Representation, 2001(12): 84-95.
［6］孔月萍, 曾平, 郑海红, 等. 基于中值金字塔变换的图像逆半调［J］. 西安电子科技大学学报, 2006, 33(6): 917-921.
Kong Yueping, Zeng Ping, Zheng Haihong, et al. Inverse Halftoning Based on the Median Pyramid［J］. Journal of Xidian University, 2006, 33(6): 917-921.
［7］ Kim H Y, Queiroz R L. Inverse Halftoning by Decision Tree Learning［C］//Proceedings IEEE International Conference on Image Processing. Barcelona: IEEE, 2003: 913-916.
［8］ Kong Yueping, Zeng Ping. Inverse Halftoning for Error Diffusion Based on Pattern Recognition and Look-up Table［J］. Chinese Journal of Scientific Instrument, 2004, 25(4): 177-181.
［9］ Chang P C, Yu C S. Neural Net Classification and LMS Reconstruction to Halftone Images［C］//Proceedings of SPIE Conference on Visual Communications Image Processing. San Jose: SPIE, 1998: 592-602.
［10］刘丽, 匡纲要. 图像纹理特征提取方法综述［J］. 中国图像图形学报, 2009, 14(4): 622-635.
Liu Li, Kuang Gangyao. Overview of Image Textural Feature Extraction Methods［J］. Journal of Image and Graphic, 2009, 14(4): 622-635.
［11］梁锦锦, 刘三阳, 吴德. 空间支持向量域分类器［J］. 西安电子科技大学学报, 2008, 35(6): 1080-1083.
Liang Jinjin, Liu Sanyang, Wu De. Space Support Vector Domain Classifier［J］. Journal of Xidian University, 2008, 35(6): 1080-1083.
［12］同鸣, 冯玮, 姬红兵. 一种新的Contourlet域鲁棒水印算法［J］. 西安电子科技大学学报, 2010, 37(2): 254-259.
Tong Ming, Feng Wei, Ji Hongbing. A New Robust Watermark Algorithm in the Contourlet Domain［J］. Journal of Xidian University, 2010, 37(2): 254-259.

[1]	LIU Daohua,WANG Shasha,YANG Zhipeng,CUI Yushuang. Improved face image classification method based on the local embedding network [J]. Journal of Xidian University, 2020, 47(4): 18-23.
[2]	SONG Jianfeng,WEI Yue,MIAO Qiguang,QUAN Yining,CHEN Yusheng. Urine cell image classification algorithm based on the squeeze and excitation mechanism [J]. Journal of Xidian University, 2020, 47(2): 39-45.
[3]	SUN Chen, CHENG Liye. Spatial sensing matrix learning for PolSAR image classification [J]. Journal of Xidian University, 2018, 45(6): 92-98.
[4]	LI Xue, AI Lirong, ZHOU Xiaojing, ZHANG Kai. Automatic assessment of children's vision [J]. Journal of Xidian University, 2018, 45(6): 150-155.
[5]	MA Hongjin;NIE Yufeng. Anisotropic diffusion denoising method based on image feature enhancement [J]. J4, 2015, 42(5): 154-160.
[6]	CHEN Bo;WANG Shuang;JIAO Licheng;LIU Fang;MAO Shasha. Polarimetric SAR image classification via naive Bayes combination [J]. J4, 2015, 42(2): 45-51.
[7]	HAN Bing;QIU Wenliang. Aurora images classification via features salient coding [J]. J4, 2013, 40(6): 180-186.
[8]	YANG Xi;LI Jie;HAN Bing;GAO Xinbo. Wavelet hierarchical model for aurora images classification [J]. J4, 2013, 40(2): 18-24.

Classification and recognition algorithm for the halftone image

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

References

Related Articles 8

Metrics

Comments

Recommended 0