红外与激光工程
紅外與激光工程
홍외여격광공정
INFRARED AND LASER ENGINEERING
2013年
9期
2589-2596
,共8页
于雪莲%陈钱%隋修宝%任建乐
于雪蓮%陳錢%隋脩寶%任建樂
우설련%진전%수수보%임건악
配准%对数极坐标变换%相位相关%互相关%互功率谱最优峰值
配準%對數極坐標變換%相位相關%互相關%互功率譜最優峰值
배준%대수겁좌표변환%상위상관%호상관%호공솔보최우봉치
registration%log-polar transformation%phase-correlation%cross-correlation%optimal peak of the cross power spectrum
对数极坐标域下的图像配准方法常因相位相关互功率谱呈现多峰分布而影响匹配准确度,为此提出了一种基于区域最优峰值的相位相关红外图像配准方法。首先将待配准图像和参考图像转换到对数极坐标域,其次以自适应巴特沃斯高通滤波为预处理,最后结合归一化互相关和相位相关的相似性测度,在合理截断互功率谱半径轴低数值段的基础上,筛选出最优峰值实现自动配准,同时研究了对数极坐标变换尺寸对匹配性能的影响,给出了最优尺寸变换比。实验结果表明:该算法对噪声污染图像表现出较好的鲁棒性,对于存在平移、旋转和缩放的红外图像具有更高的配准精度。
對數極坐標域下的圖像配準方法常因相位相關互功率譜呈現多峰分佈而影響匹配準確度,為此提齣瞭一種基于區域最優峰值的相位相關紅外圖像配準方法。首先將待配準圖像和參攷圖像轉換到對數極坐標域,其次以自適應巴特沃斯高通濾波為預處理,最後結閤歸一化互相關和相位相關的相似性測度,在閤理截斷互功率譜半徑軸低數值段的基礎上,篩選齣最優峰值實現自動配準,同時研究瞭對數極坐標變換呎吋對匹配性能的影響,給齣瞭最優呎吋變換比。實驗結果錶明:該算法對譟聲汙染圖像錶現齣較好的魯棒性,對于存在平移、鏇轉和縮放的紅外圖像具有更高的配準精度。
대수겁좌표역하적도상배준방법상인상위상관호공솔보정현다봉분포이영향필배준학도,위차제출료일충기우구역최우봉치적상위상관홍외도상배준방법。수선장대배준도상화삼고도상전환도대수겁좌표역,기차이자괄응파특옥사고통려파위예처리,최후결합귀일화호상관화상위상관적상사성측도,재합리절단호공솔보반경축저수치단적기출상,사선출최우봉치실현자동배준,동시연구료대수겁좌표변환척촌대필배성능적영향,급출료최우척촌변환비。실험결과표명:해산법대조성오염도상표현출교호적로봉성,대우존재평이、선전화축방적홍외도상구유경고적배준정도。
The log-polar transform is a well known space variant image registration scheme. However, due to the phase cross-power spectrum showing the multi-peak distribution, the accuracy of image registration is greatly influenced. To deal with this problem, an infrared image registration method based on the optimal peak of phase-correlation criterion was proposed. First, the source image and the reference image were converted to the log polar domain respectively. Second, the adaptive Butterworth high-pass filter was adopted to weaken the low-frequency noise. Finally, combined normalized cross-correlation and phase correlation similarity measure, the optimal peak of the cross-power spectrum was acquired based on truncating the low value of the cross-power spectrum. Moreover, the influence of LPT-image size on the matching performance was discussed and the appropriate size ratio of LPT transformation was presented. The experimental results indicate that the proposed method has higher precision and better anti-noisy performance than those of the normal LPT matching algorithm and is suitable for rotated, scaled and translated infrared images registration.