Classification of Error-Diffused Halftone Images Based on Spectral Regression Kernel Discriminant Analysis

المؤلفون المشاركون

Zeng, Sanyou
Zeng, Zhigao
Wen, Zhiqiang
Yi, Shengqiu
Zhu, Yanhui
Liu, Qiang
Tong, Qi

المصدر

Advances in Multimedia

العدد

المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-10، 10ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2016-05-26

دولة النشر

مصر

عدد الصفحات

10

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

This paper proposes a novel algorithm to solve the challenging problem of classifying error-diffused halftone images.

We firstly design the class feature matrices, after extracting the image patches according to their statistics characteristics, to classify the error-diffused halftone images.

Then, the spectral regression kernel discriminant analysis is used for feature dimension reduction.

The error-diffused halftone images are finally classified using an idea similar to the nearest centroids classifier.

As demonstrated by the experimental results, our method is fast and can achieve a high classification accuracy rate with an added benefit of robustness in tackling noise.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Zeng, Zhigao& Wen, Zhiqiang& Yi, Shengqiu& Zeng, Sanyou& Zhu, Yanhui& Liu, Qiang…[et al.]. 2016. Classification of Error-Diffused Halftone Images Based on Spectral Regression Kernel Discriminant Analysis. Advances in Multimedia،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1095305

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Zeng, Zhigao…[et al.]. Classification of Error-Diffused Halftone Images Based on Spectral Regression Kernel Discriminant Analysis. Advances in Multimedia No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1095305

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Zeng, Zhigao& Wen, Zhiqiang& Yi, Shengqiu& Zeng, Sanyou& Zhu, Yanhui& Liu, Qiang…[et al.]. Classification of Error-Diffused Halftone Images Based on Spectral Regression Kernel Discriminant Analysis. Advances in Multimedia. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1095305

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1095305