What are the differences between computer vision and image processing?
In image processing, an image is "processed", that is, transformations are applied to an input image and an output image is returned. The transformations can e.g. be "smoothing", "sharpening", "contrasting" and "stretching". The transformation used depends on the context and issue to be solved.
In computer vision, an image or a video is taken as input, and the goal is to understand (including being able to infer something about it) the image and its contents. Computer vision uses image processing algorithms to solve some of its tasks.
The main difference between these two approaches are the goals (not the methods used). For example, if the goal is to enhance an image for later use, then this may be called image processing. If the goal is to emulate human vision, like object recognition, defect detection or automatic driving, then it may be called computer vision.
In image processing, an image is "processed", that is, transformations are applied to an input image and an output image is returned. ... Computer vision uses image processing algorithms to solve some of its tasks. The main difference between these two approaches is the goals (not the methods used). Therefore, Image processing is related to enhancing the image and play with features like colors. While computer vision is related to "Image Understanding" and it can use machine learning as well.
Institute of Information Technology, Azebaijan National Academy of Sciences
Dear Rohit Yadav,
In image processing, an image is "processed", that is, transformations are applied to an input image and an output image is returned. ... Computer vision uses image processing algorithms to solve some of its tasks. The main difference betweenthese two approaches are the goals (not the methods used).
Institute of Information Technology, Azebaijan National Academy of Sciences
Dear Rohit Yadav,
In image processing, an image is "processed", that is, transformations are applied to an input image and an output image is returned. ... Computer vision uses image processing algorithms to solve some of its tasks. The main difference betweenthese two approaches are the goals (not the methods used).
You seems to have nail down the differences very well. What do you expect of Research Gate community and why do you seek more detailed differences? How the Wikipedia definition of the two concepts are not sufficient to you?
Rohit Yadav If your field is semantic, by all means continue to dig even into the etymology of the words if you like... Otherwise, could you explain exactly how having more subtle philosophical nuances between these two very close fields will help you "plan your research" attacking an actual research problem?
i am just like a new born baby in comparison to your experience , knowledge ,age,respect .
i really don't have any intention to mark you wrong or anything else. i just said that if you are curious about something then nothhing is enough you always try to learn something new from different person and always try to learn from differnt path.
At the last Sorry Sir
and its my honor if i am able to learn something new from you or from this research gate family
Gonzales et al. discussed it in their image processing book.
In image processing out put result of process is image but in cv, the result can be a math formula or other kind of understanding and representation except image.
The term Computer Vision is a broad term that includes images, videos, and other data formats, while Image Progressing is particularly deals with image analysis.
Vision based object recognition has attracted much interest in recent years due to its spread area of applications. Purely computer vision techniques, biologically motivated approaches or combined methods have been developed to tackle this task. Object recognition task based on three variants of non-negative matrix factorization techniques is inves...
Summary form only given. The authors have developed a computer vision machine for industrial applications, providing it with a language, Livia. In Livia one can write programs to recognize objects or features or to locate parts. The main assumptions in Livia are that the user (in an industrial setting) is not interested in having a complex system....