Latest advancement in image processing techniques
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2018-04-03 
https://doi.org/10.14419/ijet.v7i2.12.11357
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Image Processing, Digital Image Processing, Open CV, Python. -
Image processing is method of performing some operations on an image, for enhancing the image or for getting some information from that image, or for some other applications is nothing but Image Processing [1]. Image processing is one sort of signal processing, where input is an image and output may be an image, characteristics of that image or some features that image [1]. Image will be taken as a two dimensional signal and signal processing techniques will be applied to that two dimensional image. Image processing is one of the growing technologies [1]. In many real time applications image processing is widely used. In the field of bio technology, computer science, in medical field, envi-ronmental areas etc., image processing is being used for mankind benefits. The following steps are the basics of image processing:
- Image is taken as an input
- Image will be processed (manipulation, analyzing the image, or as per requirement)
- Altered image will be the output
Image processing is of two types
Analog Image Processing:
As the name implies, analog image processing is applied on analog signals. Television image is best example of analog signal processing [1].
(DIP) Digital Image Processing:
DIP techniques are used on images, which are in the format of digital for processing them, and get the required output as per the application. Operations were applied on the digital images for processing [1].
In this paper, we will discuss about the technologies or tools for image processing especially by using Open CV. With the help of Open CV image processing will be very easy and efficient. When Open CV is collaborated or integrated with python the results are mind blowing. We will discuss about the process of using python and Open CV.
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References
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How to Cite
Raghavendra, V., Vinay kumar, N., & Kumar, M. (2018). Latest advancement in image processing techniques. International Journal of Engineering & Technology, 7(2.12), 390-393. https://doi.org/10.14419/ijet.v7i2.12.11357
