共生矩阵,co-occurrence matrix英语短句,例句大全

共生矩阵,co-occurrence matrix
1)co-occurrence matrix共生矩阵
1.The Gray Level of Image Co-occurrence Matrix图像检索中灰度共生矩阵的构造与实现
2.Image retrieval based on blocked histograms and co-occurrence matrix基于分块直方图和共生矩阵的图像检索方法
3.First, the four classical texture features, including texture energy, texture entropy, texture inertial moment and local texture calmness, are calculated based on the co-occurrence matrix of the i.该方法先计算图像的灰度共生矩阵,提取能量等纹理特征量,进行初检索,再通过Canny算子提取图像边缘,用投影法计算外边缘在垂直和水平方向上的投影,对初检索结果按形状特征进行二级检索。

英文短句/例句

1.Texture Image Retrieval Based on WBCT and Smooth Co-Occurrence Matrix基于WBCT与平滑共生矩阵的图像检索
2.Osseous tumors imaging analysis based on the gray level co-occurrence matrix基于灰度共生矩阵的骨肉瘤图像分析
3.Study on Image Texture of Julia Set Based on Gray Level Co-occurrence Matrix基于灰度共生矩阵的Julia集的纹理研究
4.Classification of Sonar Image Based on Statistical and Co-occurrence Matrix in Wavelet Domain基于小波域统计——共生矩阵的声纳图像识别
5.Image Classification Based on Fractal Dimension and Co-occurrence;基于分形维度与灰度共生矩阵的图像分类研究
6.Texture segmentation on the scale co-occurrence matrix and gray level co-occurrence matrix;基于尺度和灰度共生矩阵的纹理图像分割
7.Texture Feature Retrieval and Applications Using Gray Co-occurrence Matrices;基于共生矩阵的图像纹理特征提取及应用
8.A Fast Method Based on Combination of Ostu Segmentation and GLCM for SAR Image ClassificationOstu分割和灰度共生矩阵联合的SAR图像快速分类
9.Research on the Method of Image Segmentation Based on the Gray Level Co-occurrence Matrix基于灰度共生矩阵的图像分割方法研究
10.Study on Algorithm of Texture Image Retrival by Gray Level Co-occurrence Matrix灰度共生矩阵检索纹理图像的算法研究
11.Parameters for Texture Feature of Panthera tigris altaica Based on Gray Level Co-occurrence Matrix基于灰度共生矩阵的东北虎纹理特征参数
12.Image feature extraction based on BEMD and gray level co-occurrence matrix基于BEMD和灰度共生矩阵的图像特征提取
13.Method of DFT and Co-occurrence Matrix based texture description基于DFT和共生矩阵的纹理特征描述方法
14.Texture Analysis Based on Coefficient Relationship Co-occurrence Matrix and SVM基于系数关系共生矩阵和SVM的纹理分析
15.The Gray Level of Image Co-occurrence Matrix图像检索中灰度共生矩阵的构造与实现
16.Image retrieval based on blocked histograms and co-occurrence matrix基于分块直方图和共生矩阵的图像检索方法
17.Analysis of texture feature extracted by gray level co-occurrence matrix灰度共生矩阵提取纹理特征的实验结果分析
18.Panthera Tigris Altaica Individual Identification Based on GLCM and Hu's Invariant Moments基于空间灰度共生矩阵和Hu不变矩的东北虎个体识别

相关短句/例句

HIS gray symbiosis matrixHIS共生矩阵
3)gray level co-occurrence matrix灰度共生矩阵
1.Texture Image Retrival Based on Wavelet Decomposition and Gray Level Co-occurrence Matrix;基于小波分解和灰度共生矩阵的纹理图像检索
2.Texture segmentation on the scale co-occurrence matrix and gray level co-occurrence matrix;基于尺度和灰度共生矩阵的纹理图像分割
3.A Self-adaptable Method to Detect Edge in Images Based on Gray level co-occurrence matrix;基于灰度共生矩阵的自适应图像边缘检测
4)GLCM灰度共生矩阵
1.Wood Texture Classification and Recognition Based on Spatial GLCM;基于空间灰度共生矩阵木材纹理分类识别的研究
2.Research on Building Method of GLCM Suitable to Wood Texture;适于描述木材纹理的灰度共生矩阵构造方法研究
3.First,GLCM was used to extract the feature parameters of the wood textures.首先,应用灰度共生矩阵提取了木材的纹理特征参数;其次,在此特征参数体系下,应用 BP 神经网络对木材纹理进行了分类研究,识别率达89%。
5)gray-level Co-occurrence matrix灰度共生矩阵
1.Study on identification of fabric texture based on gray-level co-occurrence matrix;基于灰度共生矩阵的织物组织结构差异分析
2.Then texture features are extracted based on gray-level co-occurrence matrix.然后基于灰度共生矩阵实现纹理特征的提取,结合实际现状筛选出较好的纹理特征图像。
3.The traditional gray-level co-occurrence matrix (GLCM) was computationally intensive and discriminatively insufficient.分析了传统的灰度共生矩阵在计算纹理特征时计算量大,且分辨能力差的缺点。
6)scale co-occurrence matrix尺度共生矩阵
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。
2.This paper claims that the dynamic information-reflected scale co-occurrence matrix is combined with static information-reflected gray level co-occurrence matrix,and the texture images are segmented.将能反映纹理空间尺度变化信息的尺度共生矩阵(动态信息)和反映纹理信息的灰度共生矩阵(静态信息)相结合,进行纹理特征抽取,对纹理图像进行分割,再对分割结果进行滤波,去除分割结果中存在的误分像素,结果表明,能够获得良好的分割效果。
3.This paper proposes a new image segmentation method,which integrates the theory of tree-structured frame-wavelet transform,scale co-occurrence matrix(SCM),and self-organizing neural network and applies them to the clinical ultrasonic image finish segment.文中将图像树型框架小波变换、尺度共生矩阵和自组织神经网络聚类相结合应用于超声图像提出一种分割方法。