计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2010年
14期
205-208
,共4页
特征向量%MODIFIED%HAMMER算法%参数特征%超声图像配准
特徵嚮量%MODIFIED%HAMMER算法%參數特徵%超聲圖像配準
특정향량%MODIFIED%HAMMER산법%삼수특정%초성도상배준
attribute vectur%MODIFIED HAMMER algorithm%feature_map%ultrasound image registration
目前,超声图像的配准倍受关注.在MODIFIED HAMMER算法框架的基础上,针对其计算梯度幅值的求导运算在提取超声图像特征时易受斑点噪声影响的问题,基于斑点噪声的统计特性提出了一种新的参数特征用以取代梯度幅值,与LOG算子和灰度值组成特征向量,用于提取超声图像的重要特征点,并完成图像的配准.实验证明,该算法有效减少了重要特征点数目从而减少了配准时间,并且提高了配准精度.
目前,超聲圖像的配準倍受關註.在MODIFIED HAMMER算法框架的基礎上,針對其計算梯度幅值的求導運算在提取超聲圖像特徵時易受斑點譟聲影響的問題,基于斑點譟聲的統計特性提齣瞭一種新的參數特徵用以取代梯度幅值,與LOG算子和灰度值組成特徵嚮量,用于提取超聲圖像的重要特徵點,併完成圖像的配準.實驗證明,該算法有效減少瞭重要特徵點數目從而減少瞭配準時間,併且提高瞭配準精度.
목전,초성도상적배준배수관주.재MODIFIED HAMMER산법광가적기출상,침대기계산제도폭치적구도운산재제취초성도상특정시역수반점조성영향적문제,기우반점조성적통계특성제출료일충신적삼수특정용이취대제도폭치,여LOG산자화회도치조성특정향량,용우제취초성도상적중요특정점,병완성도상적배준.실험증명,해산법유효감소료중요특정점수목종이감소료배준시간,병차제고료배준정도.
Ultrasound images registration has attracted more and more attentions nowadays.Due to the speckle noise in ultrasound images,it is difficult to detect features via the calculation of their derivatives.A new parameter feature,which is obtained from the statistical properties of speckle noises,is utilized to replace the gradient amplitude.Firstly the leading points are extracted by feature vectors,which are constructed by the intensity,the Laplacian of the Gaussian and the new parameter feature.Then ultrasound images are registered based on the framework of MODIFIED HAMMER.Experimental results show that the novel method can effectively reduce computational time by cutting down the number of leading points.Besides,registration accuracy is improved.
