원문정보
초록
영어
Object Recognition System of Sonar Image plays an important role in the field of underwater defense According to pattern recognition theory, principle processes of a typical object recognition system is introduced . To achieve robust performance, image de-noising, sharpening, binary transformation, edge detection and other image processing techniques are discussed . The paper presents a novel object recognition system using multiple invariant moments as the main feature of the object, and the detected feature is trained by BP neural network so that the classification error can be minizied. Finally, we implemented the proposed approach by visual air plane recognition, the experimental results demonstrates the robustness and efficiency of the presented approach.
목차
1. Introduction
1.1. Page Setup: Margins and Layout
1.2. Preprocesses of Images and Features Extraction Based on Multiple Invariant Moment
1.3. BP neural Network
2. Experimental Results
3. Conclusions
Acknowledgements
References