IMAGE TECHNOLOGY
We are making photographs to understand what our lives mean to us.
Hello folks! Its time to break out the sweaters and jackets! Fall is here and we couldnt be more excited to share our knowledge on image processing with you.
From our last article on The Advent of Vision Technology, we got a number of queries about possible confusion between Image Processing and Computer Vision. So here we are to clarify your doubts on the same.
We are making photographs to understand what our lives mean to us.well said by Ralph Hattersley. Similarly enabling our machines to reveal the essence behind the photographs is Computer Vision. It empowers us to perceive the story behind an image whereas analyzing and modifying the meaning of the story to deduce the desired output is Image Processing.
Computer Vision :
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. It is concerned with the automatic extraction, analysis and understanding of useful information from a single image or a sequence of images.
Input : Images
Output : Knowledge of the scene (recognize objects, people, activity happening there, distance of the object from camera and each other, )
Methods : Image processing, machine learning,
Image Processing :
Image Processing - title says that it processes image, means does some transformations on image. It does analysis and manipulation of a digitized image, especially in order to improve its quality. It performs smoothing,sharpening, contrasting,stretching etc. on the image to modify the image.
Input : Images
Output : Images (Might be in different formats, for example compressed images). No knowledge of the scene is given.
Methods : Different filtering, FT,FFT,
So, thats it for this article.
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