A new recognition and interpretation system of the blurred image

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.