一个新的图像识别和解释系统模糊的图像,本文提出。一些重要的规则复杂的时刻提出了模糊的形象和校对。该系统是由区域分割、图像识别和图像解释过程。作为预处理的区域分割过程中,一个输入图像分为一些适当的地区使用基于attention-driven技术方法。 模糊推理神经网络是受雇于上述两幅图像识别和这个解释过程。下图表的模糊效果给出了。实验表明,提出的系统可以被成功地用于识别模糊化的图像。-　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

image