图像处理和计算机视觉的区别

图像处理和计算机视觉都是计算机科学中非常令人兴奋的领域。

计算机视觉：
在计算机视觉中，计算机或机器可以从输入的数字图像或视频中获得高级别的理解，目的是使人类视觉系统可以执行的任务自动化。它使用了许多技术，图像处理只是其中之一。

图像处理：
图像处理是通过调整图像的许多参数和特征来增强图像的领域。所以图像处理是计算机视觉的子集。此处，对输入图像应用变换并返回结果输出图像。其中一些转换是锐化、平滑、拉伸等。

现在，由于这两个领域都涉及视觉工作，即图像和视频，似乎对这些计算机科学领域的差异存在很多混淆。在本文中，我们将讨论它们之间的区别。

图像处理和计算机视觉的区别：

Image Processing	Computer Vision
Image processing is mainly focused on processing the raw input images to enhance them or preparing them to do other tasks	Computer vision is focused on extracting information from the input images or videos to have a proper understanding of them to predict the visual input like human brain.
Image processing uses methods like Anisotropic diffusion, Hidden Markov models, Independent component analysis, Different Filtering etc.	Image processing is one of the methods that is used for computer vision along with other Machine learning techniques, CNN etc.
Image Processing is a subset of Computer Vision.	Computer Vision is a superset of Image Processing.
Examples of some Image Processing applications are- Rescaling image (Digital Zoom), Correcting illumination, Changing tones etc.	Examples of some Computer Vision applications are- Object detection, Face detection, Hand writing recognition etc.