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1)  fisheye image
鱼眼图像
1.
Improvement of fisheye image edge extraction algorithm;
鱼眼图像轮廓提取及校正研究
2.
A new fisheye image edge extraction algorithm was proposed based on its round valid area;the overlap area of images to be mosaicked was determinated according to the minimum brightness difference in this area,and thus the fisheye images mosaics were accomplished after images fusion;finally,the virtual navigation was accomplished through color information extraction form fisheye images directly.
根据鱼眼图像的有效区域为圆形,提出了扫描线逼近的轮廓提取算法,基于图像重叠部分亮度差最小的原理,确定了重叠区域,通过对重叠区域进行融合处理实现了鱼眼图像的缝合,最后直接从鱼眼图像上提取颜色信息,重新采样图像数据,实现了基于鱼眼图像的虚拟漫游。
3.
But the fisheye image taken this way possesses a kind of distortion at different level.
在虚拟现实,机器人导航及视觉监控等领域,需要使用具有较大视角的鱼眼摄像机,这样得到的图像被称为鱼眼图像
2)  fish eye image
鱼眼图像
1.
To recover the original scene from fish eye image,the necessary condition is to retrieve the contour of fish eye image accurately.
要从鱼眼图像恢复出实际场景的图像,其前提是必须准确地提取出鱼眼图像的轮廓,也就是说要精确地求出鱼眼图像圆形区域的半径和圆心坐标。
3)  fish-eye image
鱼眼图像
1.
A solar tracking approach based on fish-eye images is proposed.
提出一种采用图像目标特征识别法跟踪太阳的方法,对图像进行仿人眼光学滤色镜效果的(H,S,I)变换域处理,凸现图像中高亮度区域;其次对高亮度区域进行鱼眼图像与平面图像的变换;然后根据各区域的轮廓、偏移量、面积等特征动态地识别出图像中的太阳斑区;最后通过鱼眼图像中太阳斑区中心点计算出太阳与视点之间的高度角与方位角。
4)  round fish eye image
圆鱼眼图像
5)  fish-eye image matching
鱼眼图像匹配
6)  fisheye view
鱼眼视图
1.
Fisheye View Visualization of Association Rules;
关联规则集合的鱼眼视图可视化
2.
A new fisheye view is described for the visualization of large scale hierarchical data using nested circles.
针对海量层次信息可视化问题,提出嵌套圆鱼眼视图及实现方法。
补充资料:高光谱分辨率遥感图像及图像光谱信息提取


高光谱分辨率遥感图像及图像光谱信息提取


  高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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