Computer Vision Vs. Image Processing

Computer vision is different to image processing.

Image processing tends to focus on 2D images. It look at how to transform one image to another by pixel-wise operations such as contrast enhancement, local operations such as edge extraction or noise removal, or geometrical transformations such as rotating the image. This characterization implies that image processing neither require assumptions nor produce interpretations about the image content. Computer vision tends to focus on the 3D scene projected onto one or several images, e.g., how to reconstruct structure or other information about the 3D scene from one or several images. Computer vision often relies on more or less complex assumptions about the scene depicted in an image.