Object Recognition System of Sonar Image Based on Multiple Invariant Moments and BP Neural Network

Abstract

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.