Feature extraction method of halftone images based on pixel aggregation descriptor

Zhong, Zhiyan; Hu, Yueming

doi:10.1007/s11042-019-08410-6

Cited by 4 publications

(1 citation statement)

References 29 publications

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“…e development of science and technology has provided a better integration opportunity for modern information technology and network technology. For example, the combination of network and HD digital processing technology has formed a tacit structure for network technology and digital technology, and is developing towards integration [5]. At present, with the support of optical ber communication transmission technology and wireless communication technology, electronic information technology can realize reliable and stable data transmission with large capacity, long distance and large space, and has high reliability and stability, which provides favorable support for the sharing and transmission of network digital information data.…”

Section: Introductionmentioning

confidence: 99%

Feature Extraction Method of Electronic Information Based on Statistical Correlation

Sun

2022

Mathematical Problems in Engineering

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Since the society enters the information age, science and technology have changed with each passing day. Electronic information has deeply affected social development and people’s life. Based on the statistical correlation algorithm, this study analyzes the establishment model of statistical correlation algorithm. Then, the feature extraction technology of electronic information is obtained according to the statistical correlation algorithm, which promotes the development of electronic information., Afterwards, the feature extraction methods of electronic information among four cities of Beijing, Shanghai, Chongqing and Tianjin are compared and analyzed in detail. The experimental results show that the electronic information feature extraction method based on statistical correlation can be well applied in four municipalities directly under the central government, which provides some theoretical and experimental support for the electronic information feature extraction method in our country.

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Section: Introductionmentioning

confidence: 99%