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- The effect of C is large for aerial image segmentation and classification. 航空影像纹理分类和分割对常数C敏感;
- A LLL image simulation scheme is proposed oriented to daytime aerial image. 并在此基础上,提出了基于日间航拍图像的微光图像仿真方案。
- Study of Middle and Low Level Algorithm in Image Understanding. 中低层图像理解算法研究短句来源我理解了。
- LLL image simulation scheme is proposed oriented to daytime aerial image. 并在此基础上,提出了基于日间航拍图像的微光图像仿真方案。
- Results of the adaptive algorithm used for contaminated aerial image is satisfactory. 利用本文所得到的自适应算法对一幅含有噪声的航拍图像进行边缘检测实验,结果令人满意。
- Combining the three methods, the moving vehicles in aerial image sequence can be detected and located precisely. 结合这3种方法,可以对航拍图像序列中的运动目标快速准确地检测与定位。
- The aerial image qualities of depth of focus (DOF) and optical proximity effect are simulated with the lithography simulation software PROLITH. 利用光刻仿真软件PROLITH,进行了掩模版空间成像的焦深(DOF)和光学临近效应的仿真。
- This paper proposes an affine invariant feature construction method, and fulfills automatic registration of aerial image sequence using this feature. 提出一种仿射不变特征的构造方法对航空图像序列进行全自动配准。
- Detecting reading order for text layout exclud ed by image is a key problem in document image understanding (DIU) and text typese tting. 图文互斥版面中确定文字的阅读顺序是排版及版面理解过程中的一个难点。
- This paper proposes that the SVM is used in the aerial image texture classification and image segmentation. The results of SVM with mutli-nonlinear features are good . 提出将支持向量机用于航空影像的纹理分类与影像分割中,在对多种线性不可分的特征进行分类时,用SVM方法得到了较好的分割与分类结果。
- Mignotte,C Collet.Three-class Markovian segmentation of high-resolution sonar image[J].Computer Vision and Image Understanding 1999,76(3):191-204. 郭海涛孙大军等.;属性直方图及其在声纳图像模糊增强中的应用[J]
- In this paper,an automatic extraction method for road network from high-definition aerial image is presented. The recommended input in this method is merely the color image. 提出了一种从高清晰的航拍图像中自动地提取出道路网络的方法;要求的输入仅仅是彩色航拍图像.
- T. S. Newman, and A. K. Jain, “A survey of automated visual inspection”, Computer Vision and Image Understanding, Vol.61, No.2, 1995, pp.231-262. 陈志良,机器视觉应用检测视窗对印刷电路板元件之自动检测,硕士论文,国立台湾科技大学电子工程研究所,台北,2000。
- The shadow regions in aerial image provide not only obvious evidences of objects higher than the surrounding background, but also obstructions for objects recognition. 航空影像中的阴影区域既提供了高大物体存在的证据,也为物体识别带来了困难。
- M. Moganti, F. Ercal, C. H. Dagli and S. Tsunekawa, “Automatic PCB inspection algorithms: a survey”, Computer Vision and Image Understanding, Vol.63, No.2, 1996, pp.287-313. 颜清居,应用电脑视觉技术于自动插件印刷电路板之自动检测新系统设计与开发,硕士论文,国立交通大学工业工程与管理研究所,新竹,2000。
- Iker Gondra, Douglas R.Heisterkamp.Content-based image retrieval with the normalized information distance.Computer Vision and Image Understanding (2008). 杨关良,李忠杰,徐小杰.;基于颜色-空间的图像检索算法
- Image enhancement is a main task in image processing for the purpose of improving visual effect, at the same time, serving for image recognition, image understanding and so on. 图像增强是图像处理一大主要任务,其主要作用是改善图像的视觉效果,同时也为图像识别、图像理解等任务服务。
- Aerial photography is the main information source of remote sensing and military reconnaissance. The sufficiency and accuracy of acquired information can be directly affected by aerial image quality. 航空摄影是遥感和军事侦察的主要信息源,航空图像质量的好坏直接决定着所获取信息的充分性和准确性。
- A new approach for road centerline semi-automatic extraction from aerial images is proposed. 摘要提出了一种新的从航空影像上提取道路中心线的半自动方法。
- This investigation integrates 2D maps, LIDAR data, and aerial images for building modeling.This research handles flat, gable, and cambered roofs. 本研究以资讯融合的方式,结合向量图、光达以及航照资料,重建三维建物模型。