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26讲：接近高维傅立叶变换Lecture 26: Approaching The Higher Dimensional Fourier Transform |
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| 课程网址: | http://videolectures.net/stanfordee261f07_osgood_lec26/ |
| 主讲教师: | Brad G. Osgood |
| 开课单位: | 斯坦福大学 |
| 开课时间: | 2010-05-21 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | For what is an image, after all? What is a mathematical description of an image? Well, at least not a two-dimensional image. At least mathematically, it's given by a function of two variables, say X1 and X2. Function F of X1, X2, where X1 and X2 are varying over some part of the X1, X2 plane. At each point, what the function prescribes is the intensity. I'm thinking about black and white images here. So you think F of X1 and X2 as a range of numbers from zero to one, from black to white. So you think of F of X1, X2 as the intensity from black to white, say, at the point X1, X2. |
| 关 键 词: | 图像; 函数; 强度 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2021-12-27：liyy |
| 阅读次数: | 75 |