基于像素,Pixel-based
1)Pixel-based基于像素
1.In this paper we compare the performance of two image classification paradigms(object-and pixel-based) for creating a land cover map of suburb of Guangzhou city, China using High-resolution satellite image, the QuickBird images.利用面向对象的信息提取技术,以高分辨率的广州市QuckBird影像为例,将城市用地分为:居民地、水体、道路、林地和农业用地等5类,并将其与传统基于像素光谱信息的分类方法进行了比较。
英文短句/例句

1.Fusion Algorithms of Remote Sensing Images at Pixel-level;基于像素级的遥感图像融合算法研究
2.Research on Image Steganographic Algorithm Based on Pixel-Value Differencing基于像素值差分的图像隐写算法研究
3.A New Algorithm for Colorizing Grayscale Image Based on Pixel Correlation基于像素相关性的灰度图像上色算法
4.Research on Intensity-Based Medical Image Rigid Registration Methods;基于像素灰度的医学图像刚性配准方法研究
5.An Adaptive Hybird Denoising Algorithm for Image Based on Thought of Pixels Classifying;基于像素分类思想的图像自适应混合去噪算法
6.Research on Image Fusion of SPOT5 Based on Pixel Layer;基于像素层的SPOT5全色与多光谱影像融合研究
7.A multi-focus image fusion algorithm based on image pixel clarity一种基于像素清晰度的多聚焦图像融合方法
8.Research on X-ray Image Mosaic of Improved Algorithm Based on Gray Scale基于像素相关度的射线图像拼接改进算法研究
9.AN IMAGE SEGMENTING METHOD FOR HANDWRITING TEXT BASED ON PIXEL POINT一种基于像素点的手写体文本图像分割方法
10.Dual-band Low Level Light Image Real-time Registration Based on Pixel Spatial Correlation Degree基于像素空间相关度的微光双谱图像实时配准
11.An Algorithm for Image Copy-Paste Forgery Detection by Pixel Matching基于像素匹配的图像“复制-粘贴”篡改检测算法
12.Image restoration parallel algorithm using anisotropic diffusion equation based on pixels pre-judgment基于像素预判的各向异性扩散并行图像恢复
13.Adaptive SAR image fusion algorithm based on pixel classification基于像素分类的自适应SAR图像融合算法
14.Research on Wavelet-Based Pixel-Level Image Fusion Algorithms;基于小波的像素级图像融合算法研究
15.Image Magnification Method Based on Sub-Pixel Edge Estimation基于亚像素边缘估计的图像放大方法
16.The Study on Subpixel Document Segmentation;基于亚像素的文本图像分割算法研究应用
17.Study on Sub-pixel Edge Location Based on Digital Image;基于数字图像的亚像素边缘定位的研究
18.Multi-resolution Wavelet-based Pixel-level Image Fusion Research;基于多分辨小波的像素级图像融合研究
相关短句/例句

pixel based基于像素的
3)pixel-oriented visualization technique基于像素的可视化技术
4)image-based基于图像
1.Fast face detection combine both feature-based and image-based approach;基于特征和基于图像相结合的快速人脸检测
2.In this paper, we describe an image-based rendering technique called Inverse Concentric Mosaics (ICM) which is based on Concentric Mosaics (CM) .阐述了“逆向同心拼图”技术 ( inverse concentric mosaics,简称 ICM) ,ICM是一种基于图像的绘制技术 ,是“同心拼图”技术 ( concentric mosaics,简称 CM)的一种扩展。
3.In recent years, we can seen clearly the trend of increasing number of researchers\' interest in image-based modeling technology for its advantages of low-cost, relatively fast speed of modeling.近年来,基于图像的建模技术以其成本低、建模速度相对较快得到越来越多研究者的关注,从单幅图像建模更因其简单、方便处理等优点得到较快的发展。
5)neighboring pixels based prediction基于邻近像素的预测方案
1.Several neighboring pixels based prediction schemes were proposed by exploiting the statistical relationship between pixel distance and correlation.针对传统低复杂度预测矢量量化图像编码算法预测准确性的不足 ,通过分析像素距离对相关性的影响 ,提出了数种改进的基于邻近像素的预测方案 ,并提出了一种具有边缘走向自适应性的预测方案 。
6)image based rendering基于图像绘制
延伸阅读

传感器像素 影像传感器上有许多感光单元,它们可以将光线转换成电荷,从而形成对应于景物的电子图像。而在传感器中,每一个感光单元对应一个像素(Pixels),像素越多,代表着它能够感测到更多的物体细节,从而图像就越清晰。要提高图像的清晰度,除了在影像处理方面做出提高以外,增加传感器的感光单元的数量即提高传感器像素也是一个主要的办法。 现在市面上主流的摄像头大都是采用30万像素,即在传感器中一共有大约30万个感光单元。与之对应的成像分辨率为640×480(即等于307200个像素)。