纹理图像,texture image英语短句,例句大全

纹理图像,texture image
1)texture image纹理图像
1.Mapping based complex contourlet transform texture image retrieval system基于映射的复轮廓波变换纹理图像检索系统
2.Second generation contourlet transform based texture image retrieval system第二代轮廓波纹理图像检索系统
3.Research on texture image segmentation method复杂纹理图像分割方法研究与实现

英文短句/例句

1.Research on the Key Techniques in the Pre-Processing of Topological Texture Image;拓扑纹理图像的关键预处理技术研究
2.Texture Image Segmentation Based on Second Generation Bandelet Transform;基于第二代bandelet变换的纹理图像分割
3.Texture Image Retrieval Based on Gabor Wavelet Transform;基于Gabor小波变换的纹理图像检索
4.Error-detection technique of MPEG-2 texture images;MPEG-2纹理图像的错误检测技术
5.Study on the Figerprint Compression Algorithm Based on Characteristic of Texture;基于指纹纹理特征的指纹图像压缩算法的研究
6.patterned with veins or streaks or color resembling marble.由像大理石般的纹理、条纹或色彩组成的图案。
7.Flotation froth image texture extraction method based on fuzzy texture spectrum基于模糊纹理谱的浮选泡沫图像纹理特征提取
8.A Study on Fingerprint Image Preprocessing Algorithm Based on Texture Analysis基于纹理分析的指纹图像预处理算法研究
9.A method of image retrieving based on fortified foreground image texture基于加强的前景图像纹理的图像检索方法
10.The Processing of Image Color Components Based on Texture Descriptor;基于纹理描述子的图像颜色分量处理
11.The Application of Computer Techniques in Palm Print Image Processing计算机技术在掌纹图像处理中的应用
12.Image Edit Based on Re-texturing with Interactive Extracting;基于交互提取与纹理变换的图像编辑
13.The Research of Fingerprint Image Preprocessing and Thinning Algorithm;指纹图像的预处理和细化算法的研究
14.The Study of Marine Oil Spills Classification in SAR Images Based on Texture Analysis;基于纹理分析的溢油SAR图像分类研究
15.The Study on Texture Features Extraction of SAR Image in Wavelet Domain;基于小波域SAR图像纹理特征提取研究
16.Research on Classification and Retrieval of Texture Images;基于纹理特征的图像分类与检索研究
17.Study on Image Denoising Algorithm Based on Texture Details;基于纹理细节的图像去噪算法的研究
18.Research on Algorithms of Preprocessing and Minutiae Extraction of Fingerprint Image;指纹图像预处理与特征提取算法研究

相关短句/例句

textured image纹理图像
1.In this paper an approach to object extraction in textured images is proposed based on a mask stochastic method in object edge extraction, and its aim is to detect the object hidden in texture.提出了一种基于纹理图像的目标提取方法。
2.In the field of textured image segmentation,some propose a two step textured image segmentation method by taking interacting parameter of neighbor pixel in Gauss Markov Random Field as features,taking Gauss Mixture Model as classifier.针对以高斯马尔可夫随机场中的邻域像素互作用参数为特征、以高斯混合模型为分类器的二步纹理图像分割方法,提出一个两者相互结合的一步模型———高斯马尔可夫随机场混合模型,并给出其EM算法的迭代计算公式。
3.The author proposes a textured image segmentation algorithm which is based on multiresolution wavelet and Gaussian mixture models.提出了一个基于多分辨率小波采样和高斯混合模型的纹理图像分割方法。
3)texture images纹理图像
1.Leather has typical texture and the texture images differ from common gray images in pixels space dist.因为皮革具有典型的纹理特征,纹理图像其特殊的像素空间分布方式有别于普通的灰度图像,因此常用的灰度图像分类特征对纹理图像的分类不适用。
4)image texture图像纹理
1.The choice of the superior wavelet bases in the image texture identifies;图像纹理识别中最优小波基的选择
2.Develops a system that can analyzes MRI medical image texture feature,the functions of which include implementing image display,reading image information,selecting ROI,extracting five texture features and forming samples that is saved to the samples library,as well as classifying the samples using four different methods and statistical tests for the various features.很多研究都已经证实当人体的组织发生病理变化时,图像纹理特征也会相应改变,如何从MRI图像中提取表征这种常规MRI无法观察到的微观结构改变的特征是本文研究的重点。
3.Combing the energy,coarseness and structure property of the texture,an algorithm for image texture feature detection based on Gabor filter is proposed according to human vision characteristics.结合纹理的能量特性、粗糙性、结构性等特点,根据人类视觉特性,提出了Gabor小波变换滤波器的图像纹理特征提取方法。
5)fingerprint image preprocessing指纹图像预处理
1.An arithmetic of fingerprint image preprocessing is presented on the basis of available algorithms and Radon transforms.为了增强指纹图像预处理的效果,在指纹图像预处理算法的基础上,文中提出了一种新的指纹图像预处理的算法。
2.In this paper, fingerprint image preprocessing algorithms, fingerprint singular points and minutiae extraction algorithms and fingerprint classification and indexing algorithms are analyzed and discussed in detail.本文在指纹图像预处理算法、指纹奇异点与细节点提取算法、指纹分类及检索算法等方面进行了较为深入的分析研究,取得了以下成果:1、在指纹图像预处理算法方面,一是提出采用指纹图像子块的频谱能量比与灰度对比度构成特征向量,利用线性支持向量机对这些特征向量进行分类,再运用二值图像形态学操作实现指纹图像分割;二是提出对指纹块方向图进行选择性平滑后,通过对投影信号进行谱分析估计纹线间距,再结合Gabor滤波实现指纹图像增强。
6)texture image segmentation纹理图像分割
1.Graph semi-supervised texture image segmentation combined with Nystrm结合Nystrm逼近的图半监督纹理图像分割
2.To verify the proposed algorithm,we apply it to texture image segmentation with satisfactory results.为了将谱聚类算法应用于大规模聚类问题,该文提出一种两阶段纹理图像分割算法,采用改进的分水岭算法进行预分割,然后用特征值尺度化特征multiway谱聚类算法进行最终分割。