Target recognition in non-uniform illuminated and noisy scene
A novel algorithm is presented for detecting a target placed in background and degraded by non-uniform illumination and additive noise. The algorithm includes two steps. First, the input scene is preprocessed with estimated illumination function. Then the processed scene is correlated with a designed optimum filter based on Wiener filtering. Simulation results show effectiveness of the proposed method in terms of the robustness to non-uniform illumination and noisy conditions.
correlation pattern recognition non-uniform illumination Wiener filter
Yu Zhao Baohua Bai
Institute of Communication Engineering Jilin University Changchun,China
国际会议
厦门
英文
467-470
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）