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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM17462

CARTOONIFY IMAGE

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM17462

Volume:

7 |

1 |

Jan 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SP

Supraja Palnati

S

Sharvani

AS

Aashritha Solipuram

D

Dr.M.Shailaja

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Abstract

Cartoonification is an image with the metamorphosis of an image into its cartoon form. moment, we’ve set up numerous operations on the Internet to convert images into a cartoon effect. The cartoon style has a unique style identification with a high position of meaning, abstraction, and the cardboard image tends towards clean edges, smooth color and fairly simple textures. An image process could be a methodology for performing some operations on an image. It’s a kind of signal process where the input is an image and the affair can be an image or features features related to that image. The main thing of the design is to descry objects or convert a real image into a cartoon effect. Converting real- world images into cartoons using some tools, software, and accoutrements of some products is known as a cartoon image. Our system takes a set of images to draw on the input image we took. Cartoonify Reality is an OpenCV design that uses OpenCV core functions and the K- Means clustering algorithm to perform image processing and cartoonify them. K- Means clustering is a clustering algorithm in which n compliances are divided into k clusters. And also we will import the easygui, numpy, matplotlib, tkinter libraries to make the input image as a cartoon image.

KEYWORDS

K- Means OpenCV Cartoonification

Cite This Article

Supraja Palnati, Sharvani, Aashritha Solipuram, Dr.M.Shailaja, "CARTOONIFY IMAGE," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 1, Jan 2023.

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Publication Date

8/31/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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