Design of Image Feature Information Recognizer Based on Regional Maximum Entropy

Jia Wang

doi:10.4028/www.scientific.net/AMR.971-973.1586

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 971-973Design of Image Feature Information Recognizer...

Design of Image Feature Information Recognizer Based on Regional Maximum Entropy

Abstract:

Design an image feature information recognizer using the maximum entropy principle, extract feature information from image file. Set the learning process of the characteristic database in finite source identification of threshold, including the source feature information database learning,and the identification evaluation to dynamically set a threshold for the feature information classification.

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Periodical:

Advanced Materials Research (Volumes 971-973)

Pages:

1586-1589

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.971-973.1586

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Online since:

June 2014

Authors:

Jia Wang*

Keywords:

Feature Information, Recognizer, Regional Maximum Entropy

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