A new recognition and interpretation system of the blurred image

Author

Zhiqian, Xu ; Xiangzhen, Yan ; Xiujuan, Yang

Author_Institution

Coll. of Mech. & Electron. Eng., China Univ. of Pet., Dongying, China

fYear

2011

fDate

22-24 April 2011

Firstpage

958

Lastpage

961

Abstract

A new image recognition and interpretation system for the blurred image is proposed in this paper. Some important rules of complex moments for the blurred image are presented and proofed. The proposed system is composed of regional segmentation, image recognition and image interpretation process. As a pre-processing in the regional segmentation process, an input image is divided into some proper regions using techniques based on attention-driven approach. Fuzzy inference neural networks are employed in both the image recognition and the interpretation processes. The graphs under the blurring effect are presented. The experiment has shown that the proposed system can be successfully used in recognition of the blurred images.

Keywords

fuzzy neural nets; fuzzy reasoning; image recognition; image segmentation; attention-driven approach; blurred image; fuzzy inference neural network; image interpretation system; image recognition system; regional segmentation process; Artificial neural networks; Face recognition; Humans; Image recognition; Image segmentation; Merging; Object recognition; FINN; blurred image; image interpretation; image recognition; regional segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Technology and Civil Engineering (ICETCE), 2011 International Conference on

Conference_Location

Lushan

Print_ISBN

978-1-4577-0289-1

Type

conf

DOI

10.1109/ICETCE.2011.5775932

Filename

5775932