1) Tree wavelet
树型小波
1.
The feature vector is composed of wavelet texture energy features, texture features based on the gray-level co-occurrence matrix and the tone of filtered SAR image by using tree wavelet.
该方法将树型小波中颇纹理能量特征、灰度共生矩阵特征、树型小波滤波后的灰度组成的特征矢量对SAR图像进行分类。
2.
A method of water automatic detection for SAR images is presented,which uses tree wavelet to decompose the SAR images,obtains the medium-frequency imformation from the sample image and the test image,and analyzes the texture.
该方法采用树型小波对SAR图像进行分解,提取样本图像与待检测图像的中频信息,并进行纹理分析,利用模糊加权支持向量机对样本图像的纹理进行训练,从而获得判别水体的决策函数,通过该决策函数能够检测出图像的水体区域。
2) tree wavelet filter
树型小波滤波
3) tree structured wavelet transform
树型小波变换
1.
First, features of the image to be segmented are extracted by the tree structured wavelet transform.
通过树型小波变换提取图像特征 ,再用模糊联想分类神经网络将待分割图像划分为灰度图像或纹理图像 ,并根据分类结果确定分割算
4) tree-structured frame-wavelet transform
树型框架小波变换
1.
This paper proposed a new image segmentation method,which integrated the theory of tree-structured frame-wavelet transform,scale co-occurrence matrix(SCM),principal component analysis and self-organizing neural network,and applied them to the clinical ultrasonic image finishing image segmentation.
本研究将图像树型框架小波变换、尺度共生矩阵、KL变换主分量分析和自组织神经网络聚类相结合应用于医学超声图像,提出一种分割新方法。
5) hidden Markov tree (HMT)
小波域隐Markov树模型(HMT)
6) Incomplete tree-structured wavelet decomposition
不完全树型小波分解
补充资料：波利树法门
【波利树法门】
（术语）涅槃经三十二引忉利天宫之波利质多树以喻菩萨出家受具足戒，乃至具足诸行得大般涅槃之功德也。
（术语）涅槃经三十二引忉利天宫之波利质多树以喻菩萨出家受具足戒，乃至具足诸行得大般涅槃之功德也。
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