1) fast normalized cross correlation
快速归一化互相关
1.
firstly fast normalized cross correlation based on sum tables is utilized to increase the tumor recognition speed,and then large subwindow skill is used to identify tumor rightly,at last the multi-subwindow technique is used to achieve accurate tumor segmentation.
对肿瘤进行快速准确地精细分割和生长监控是当前医学图像实时处理需要解决的一个问题,本文通过使用基于加和表的快速归一化互相关(FNCC)方法提高肿瘤识别速度,通过大子窗口技术提高肿瘤识别的正确度,通过多子窗口技术实现肿瘤的精细分割。
2) Fast ZNCC
快速零均值归一化互相关
3) normalized cross-correlation
归一化互相关
1.
New pitch detection algorithm based on LPC and normalized cross-correlation
基于线性预测与归一化互相关的基音检测
2.
An image registration technique is present that is based template matching by normalized cross-correlation.
对校正后的实时图,本文采用归一化互相关方法,进行模板匹配。
3.
Then,normalized cross-correlation matching and probability support matching method are used to match the images feature points.
然后利用归一化互相关匹配法和概率支撑法对特征点进行匹配。
4) normalized cross correlation
归一化互相关
1.
Unlike traditional normalized cross correlation algorithm which only use edge points for matching,our new method imbedded local image information into cross correlation algorithm.
传统的基于边缘的归一化互相关算法仅仅利用边缘点进行匹配,新算法不仅利用边缘点,而且将图像边缘点附近的结构信息嵌入到匹配算法中。
5) Normalized Cross Correlation (NCC)
归一化互相关(NCC)
6) Normalized edge magnitude cross correlation
归一化边缘强度互相关
补充资料：快速
速度快的；迅速：～照相机ㄧ～炼钢ㄧ～行军 ㄧ～育肥。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条