Gray的例句大全

Target Recognition of Ship Noise Based on Gray Model

基于灰色模型的舰船声信号目标识别

System by the electron gun system of points of light signals in RGB color space sampling and analysis, application of color image segmentation to identify the threshold target spot image and using center of gravity method gray-scale image of the photoelectric target identification and location.

系统通过对电子枪光点信号的RGB颜色空间的采样分析，应用彩色图像的阈值分割识别光点目标图像，并用灰度重心法对光电目标图像进行识别定位。

Thirdly, according to the differences of target images and spot images in gray-scale features, Otsu adaptive segmentation method is adopt to realize the image segmentation.

接着根据靶标图像和光斑图像在灰度特征上的差异，采用了最大类间方差自适应分割法实现了光靶图像的分割。

An advisory committee ruled that a neutral gray-green would be flattering to the greatest range of people, according to a later technical report.

根据后来的一份技术报告，一个咨询委员会裁定，中性灰绿色会是最讨人喜欢的颜色。

An advisory committee ruled that a neutral gray-green would be "flattering to the greatest range of people," according to a later technical report.

根据后来的一份技术报告，一个咨询委员会裁定，中性灰绿色会是“最讨人喜欢的颜色”。

Design of Gray-Mapped Constant Weight Modulation Code for Digital Holographic Data Storage System

数字全息数据存储系统中的格雷映射等重调制码的设计

Study on Dimensional Accuracy of High Strength Gray Iron Cylinder Block Castings with Thin Section Thickness

高强度薄壁灰铸铁缸体铸件尺寸精度研究

The texture differencing change detection method substitutes textural features for gray information to represent the characteristics of images and gets urban change status through differencing change detection.

该方法采用纹理特征代替灰度信息来体现图像特点，并使用差值变化检测来获取城区变化情况。

The square neighbor algorithm& neighboring gray level dependence matrix ( NGLDM) for describing the visual textural features of flotation froth was put forward.

提出了有效描述浮选泡沫视觉特征的面邻域提取算法&邻域灰度相关矩阵法；

Due to the abundant and steady textural features on urban environment in SAR images, a texture differencing method that substitute textural features for gray information is presented in this paper.

针对城区环境SAR图像纹理特征丰富稳定的特点，本文提出了使用纹理特征代替灰度信息进行变化检测的纹理差值方法；

Compared with other textural features such as gray level co-occurrence matrix, Laws texture energy, and Fourier power spectrum, higher classification rates were made by structure spectrum for classification of pits, scars and inclusions.

实验结果表明，结构谱方法具有较好的光照不变性，对麻点、夹杂、结疤等缺陷的识别率要高于灰度共生矩阵、Laws纹理能量、傅里叶功率谱等其他纹理分析方法。

In the spatial domain, the second-order statistics of a gray level co-occurrence matrix are used as the features. In the frequency domain, Gabor filters are used for image filtering, and then textural features are extracted.

空域上，采用了灰度共生矩阵的二阶统计量作为特征：频域上，采用了Gabor滤波器对图像进行滤波，进而提取特征。

Finally, we propose a synergetic classification of lymphoid tissue color pathological images based on the textural features space. We use the textural features instead of the gray features to classify the lymphoid tissue color pathological images in the synergetic neural network.

在上述分析基础上，本文提出了基于纹理特征空间的淋巴组织病理图像协同模式分类，即以纹理特征替代传统的灰度特征，进入协同神经网络，对淋巴组织病理图像进行模式识别。

In extracting texture characteristic, to cut down the amount of calculation, we compress the image and convert it to gray image.

在提取纹理特征时，为了减少计算量，首先对原图像进行压缩和灰度化。

The synthesized Gray level co-occurrence matrix can be calculated through weighted coefficient of different directions, texture characteristic parameters of which will be used to describe texture characteristics of cells.

根据各个方向的加权系数和灰度共生矩阵，计算出综合灰度共生矩阵。利用综合灰度共生矩阵的纹理特征参数描述细胞的纹理特征。

A gray level run length sum matrix model is presented for the texture analysis and discrimination of a remote sense image.

提出了灰度游程长度累加矩阵模型，并用此模型对遥感图象的纹理进行分析和鉴别。

In this paper a gray level-gradient cooccurrence matrix model is presented for the texture analysis and discrimination of an image.

本文提出用灰度-梯度共生矩阵模型对图象的纹理进行分析和鉴别。

This paper presents the remote sensing image land cover/ use classification method, based on rule-reasoning method using gray information, wavelet-based texture feature, vegetation index and shape information.

提出一种利用地类的色度信息、小波提取纹理特征、植被指数及形状知识等采用规则推理有效识别遥感土地类别的方法。

The gray run length and its statistical texture features of coal flotation froth image

煤泥浮选泡沫图像灰度行程及其统计纹理特征

And it determined the gray level and texture parameters of wood transverse section micrograph by spatial gray level cooccurrence matrix ( GLCM). The texture character were analyzed.

采用空间灰度共生矩阵方法提取木材横切面显微图像的纹理特征参数，并分析了木材横切面显微图像的纹理变化特征；