现代电子技术
現代電子技術
현대전자기술
MODERN ELECTRONICS TECHNIQUE
2014年
1期
14-18
,共5页
梁琛华%常青%胡谋法
樑琛華%常青%鬍謀法
량침화%상청%호모법
加权Hu矩%噪声估计%自适应融合%加权系数
加權Hu矩%譟聲估計%自適應融閤%加權繫數
가권Hu구%조성고계%자괄응융합%가권계수
weighted Hu moment%noise estimation%self-adaptive fusion%weighted coefficients
针对HOG在强噪条件下以及加权Hu矩在弱噪条件下识别性能较差的情况，通过最小二乘拟合估计加权系数与噪声参数之间的映射关系，自适应调整融合参数达到将加权Hu矩和HOG特征融合的目的。实验证明，基于加权Hu矩和HOG的特征识别对噪声的容忍度更好，适用范围更广，识别率更稳定。
針對HOG在彊譟條件下以及加權Hu矩在弱譟條件下識彆性能較差的情況，通過最小二乘擬閤估計加權繫數與譟聲參數之間的映射關繫，自適應調整融閤參數達到將加權Hu矩和HOG特徵融閤的目的。實驗證明，基于加權Hu矩和HOG的特徵識彆對譟聲的容忍度更好，適用範圍更廣，識彆率更穩定。
침대HOG재강조조건하이급가권Hu구재약조조건하식별성능교차적정황，통과최소이승의합고계가권계수여조성삼수지간적영사관계，자괄응조정융합삼수체도장가권Hu구화HOG특정융합적목적。실험증명，기우가권Hu구화HOG적특정식별대조성적용인도경호，괄용범위경엄，식별솔경은정。
Aiming at the poor recognition performance of the HOG in strong noise condition and weighted Hu moment in weak noise condition,the mapping relation between weighting coefficients and noise parameters is estimated by the least squares fit. Self-adaptation of fused parameters reached the purpose of the feature fusion of weighted Hu moment and HOG. Experiments show that the feature recognition based on Weighted Hu Moment and HOG has good noise tolerance,wide-range application and stable recognition rate.
