Abstract
This article describes a technique for generating cartoon-like images from digital pictures. The method used today is different from how things were done in the past. This study focuses on the various tactics used during the process that, when used layer by layer, provide a product that is well balanced. We usually research how to combine several functions in a specific way to provide a filtered and composite outcome. Various functions’ mathematical foundations and mechanisms have also been discussed. This article provides examples of a variety of cartooning techniques. Any of the methods given here can be used to turn any type of obtained photograph into a cartoon, including pictures of people, mountains, trees, flora and fauna, etc.
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Dumoulin V, Shlens J, Kudlur M A learned representation for artistic style, 2017 Summary We used computer vision algorithms to turn a typical image into a comic in the preceding demonstration. We’re going to have a lot of fun with computer vision techniques. The cartoonie image function is then called after we check what we pressed on the keyboard. The sketch mode attribute has distinct values in the two calls, resulting in two different outputs (we mentioned what the output will look like earlier in this post)
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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Ramya, P., Ganesh, P., Mouli, K., Akhil, V.N.S. (2023). Cartoonify an Image with OpenCV Using Python. In: Ogudo, K.A., Saha, S.K., Bhattacharyya, D. (eds) Smart Technologies in Data Science and Communication. Lecture Notes in Networks and Systems, vol 558. Springer, Singapore. https://doi.org/10.1007/978-981-19-6880-8_4
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DOI: https://doi.org/10.1007/978-981-19-6880-8_4
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