The difference between Image Processing,Computer Vision and Machine vision

Image processing, computer vision and machine vision are some of the current and practical computer topics. Often these terms are used interchangeably, but their definitions are different.

Image Processing

Image processing is the use of algorithms to improve image quality. These algorithms receive an image as an input and then return an image as an output image. Changes such as: smoothing the photo (smoothing), highlighting the edges, blurring the image (Blur) and other image processing filters.

Computer Vision

In computer vision, machines are built to gain high-level understanding of input digital images or videos with the goal of automating tasks that the human vision system can perform. It uses many techniques and image processing is only one of them, including Machine Learning(ML) and the use of convolutional neural networks (CNN) in image classification. In fact, it can be said that image processing is a subset of computer vision, and computer vision is broader than image processing.

Machine Vision

Machine vision is mostly used in industry. In other words, it can be said that machine vision is the application of computer vision in industry and factory line.

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