ALGORITMA NON-PHOTOREALISTIC RENDERING UNTUK KARTUN MENGGUNAKAN K-MEANS DAN CANNY
Autor: | Saniyatul Mawaddah, Budiman Baso, Irit Maulana Sapta |
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Rok vydání: | 2021 |
Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION k-means clustering Image (mathematics) Non-photorealistic rendering Visualization Contour line Computer vision Bilateral filter Artificial intelligence Quantization (image processing) business ComputingMethodologies_COMPUTERGRAPHICS Abstraction (linguistics) |
Zdroj: | Journal of Information and Technology. 1:1-5 |
ISSN: | 2775-2720 |
DOI: | 10.32938/jitu.v1i1.888 |
Popis: | Cartoons are one type of illustration usually in a non-realistic or semi-realistic style. To make a cartoon drawing manually requires good drawing ability. So, not everyone can make cartoons. This research proposes a non-photorealistic rendering algorithm to create cartoon drawings automatically. The algorithm consists of four phases. First, create an image abstraction using bilateral filtering. Second, using kmeans clustering for abstract image quantization. Third, get the contour lines of the drawing using the canny algorithm. Fourth, contour lines and quantized images are combined. The results show that this algorithm can produce good visualization of cartoon images. |
Databáze: | OpenAIRE |
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