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- Therefore, a kind of texture feature extracting algorithm based LBP (Local Binary Pattern ) operator is proposed. 为此,本文提出了一种基于LBP算子的医学图像检索方法。
- A method of textural feature extraction from mammogram based on GLCM is proposed in this paper. 文中提出了基于灰度共生矩阵的乳腺X照片纹理特征提取方法。
- Fabric Texture Feature Extraction Based on Wavelet Theory 基于小波理论的织物纹理特征提取
- Fabric texture feature extraction based on power spectrum 功率谱分析在机织物组织纹理识别中的应用
- Texture Feature Extraction and Recognition of Wear Debris Image 磨粒图像的纹理分析及识别
- texture feature extracting 纹理特征提取
- Texture Feature Extraction of Multiband Remote Sensing Image Based on Gray Level Co-occurrence Matrix 基于灰度共生矩阵的多波段遥感图像纹理特征的提取
- Texture features extraction in baking quality-test of bread 面包烘焙品质检验中纹理特征的提取
- Texture Feature Extraction of Ultrasound Cardiogram Based on Adaptive Gabor Wavelet Packet 基于自适应Gabor小波包的超声心动图像纹理特征提取
- Biorthogonal multiwavelets filter characterized with self-affine was proposed to extract iris texture feature and local with global feature was applied to recognize iris. 用具有自仿映射特性的区间双正交多小波滤波器提取虹膜的纹理特征,并采用局部和全局特征相结合的方法对虹膜进行识别。
- The central work of this chapter includes: (1)reviewing the eight kinds of texture feature extraction methods currently used and the previous work in the evaluation of TFDP; 本章的工作主要包括:(1)回顾了常用的八种纹理特征提取方法以及前人在纹理鉴别性能评价方面的主要工作;
- Application of Zero Spectral Moment Filter in Iris Texture Features Extraction 零谱矩滤波器在虹膜纹理特征提取中的应用
- Feature extracting method for text information is one of theemphasis of this thesis. 论文详细研究了标题栏的结构特征和文字信息提取方法,介绍了标题栏信息存储的方法。
- By means of the mathematical properties of CL multiwavelet, the iris texture feature can be presented accurately and primely. 利用CL多小波优良的数学性质,虹膜纹理特征能够被准确完整地表达。
- An image analysis method of curdy and greasy fur based on texture feature is proposed in this paper. 本文根据腐腻苔的纹理特点,提出了一种舌苔腐腻的图像分析算法。
- The sulfide deposits have three-dimensional texture feature of "massive ore sheet plus stratabound network ore zone". 硫化物矿床具有“块状矿席+层控网脉状矿带”式三维结构特徵。
- In this paper, an improved algorithm of image feature extracting for independent component analysis was proposed based on basic functions' maximization of sparseness. 摘要利用基函数稀疏性的极大值特点,本文提出一种改进的基于独立分量分析的图像特征提取算法。
- texture feature extracted 纹理特征提取
- Feature extraction is a basic problem in pattern recognition. 特征提取是模式识别的基本问题。
- A wavelet visible watermarking algorithm is proposed based on noise masking, then the improvement is made based on texture feature of watermark image. 摘要根据图像的噪声掩蔽性设计了一种小波域可见水印算法,并根据水印图像的纹理特征对算法作了进一步改进。