Java 在图像处理方面，空间特征和时间特征有什么区别？
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what's the difference between spatial and temporal characterization in terms of image processing?
提问by a077456
I am a beginner in learning image processing and I am a bit confused with the concept of spatial and temporal characterization. So, for Spatial characterization, is it like a 2D map which contains some statistical information about the map? And in terms of the temporal characterization, is the value with respect to time? What does it mean and why do we care? Thanks!
我是学习图像处理的初学者，对空间和时间表征的概念有点困惑。那么，对于空间表征，它是否像包含一些有关地图的统计信息的 2D 地图？就时间特征而言，价值是否与时间有关？这是什么意思，我们为什么要关心？谢谢！
采纳答案by lennon310
Temporal characterization occurs when you have a series of images taken at different time. Correlations between the images are often used to monitor the dynamic changes of the object.
当您在不同时间拍摄一系列图像时，就会发生时间特征化。图像之间的相关性常用于监测物体的动态变化。
Spatial characterization applies when you are analyzing one image. It includes but not limited to the coordinates, intensity, gradient, resolution, to name only a few.
当您分析一幅图像时，空间特征适用。它包括但不限于坐标、强度、梯度、分辨率，仅举几例。
Check this paper on blood vessel analysisto get more details among the two.
查看有关血管分析的这篇论文，以获取两者之间的更多详细信息。
回答by Buvaneswari Sekar
Spatial = Space
Example, Image consist of pixel values which needs memory space to store. Spatial information = Pixel values stored into Memory
Temporal = Time
Example, Video consists of image frame sequence. With respect to time the frames are changed in video. This is called Temporal Information.
空间 = 空间示例，图像由需要内存空间来存储的像素值组成。空间信息 = 存储到内存中的像素值
时间 = 时间示例，视频由图像帧序列组成。关于时间，视频中的帧会发生变化。这称为时间信息。
