一种新的模糊图像识别与解释系统

2011 International Conference on Electric Technology and Civil Engineering (ICETCE) Pub Date : 2011-04-22 DOI:10.1109/ICETCE.2011.5775932

Xu Zhiqian, Yan Xiangzhen, Yang Xiujuan

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引用次数: 2

摘要

本文提出了一种新的模糊图像识别与解释系统。提出并证明了模糊图像复矩的一些重要规律。该系统由区域分割、图像识别和图像解释三个部分组成。作为区域分割过程中的预处理，使用基于注意驱动方法的技术将输入图像划分为适当的区域。模糊推理神经网络被用于图像识别和解释过程。给出了模糊效果下的图形。实验表明，该系统可以成功地用于模糊图像的识别。

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A new recognition and interpretation system of the blurred image

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.

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

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