DIfferences between computer vision and image processing

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Question Detail: I am basically an Electronics and Communication Engineering student. My relevant coursework include Probability Theory and Stochastic Processes, Engineering Mathematics, Signals and Systems, Digital Signal Processing (this semester). Now, this area Computer Vision – Image Processing – Object recognition – etc caught my eye and I am thinking to study this subject and write a nice research paper in one of the areas later on. So, could anyone tell me what the differences between Computer Vision and Image Processing are? Say, we consider Object recognition – what are the roles of vision and image processing?

Asked By : gena
Best Answer from StackOverflow

Question Source : http://cs.stackexchange.com/questions/7050

Answered By : Ravindra Bagale

you can find answer of these in title itself.

image processing- title says that it processes image, means does some transformations on image. that means may be it does some smoothing,sharpening, contrasting,stretching.. on the image for making image more enhancive & readable that is input and output of a process are images. computer vision -> the ultimate goal is to use computers to emulate human vision, including learning and being able to make inferences and take actions based on visual inputs.

image processing is one part of computer vision.computer vision system uses the image processing algorithms. the main difference is in goals, not in methods. For example, if the goal is to enhance image for later use , then this may be called image processing. And if the goal is to emulate human vision like object recognition, defect detection or automatic driving, then it is closer to computer vision.

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