فاتن صادق خزعل ابراهيم
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Fatin Sadiq Alkinani
MSc
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assistant lecturer
College of Science
,
Department of Computer
[email protected]
Publication Date
Sat Oct 31 2020
Journal Name
International Journal Of Intelligent Engineering And Systems
Automatic Computer Aided Diagnostic for COVID-19 Based on Chest X-Ray Image and Particle Swarm Intelligence
COVID-19
Chest X-ray
Li s' method
Particle swarm intelligence
Laws' masks
Gray level co-occurrence matrix (GLCM)
Weighted voting
Support vector machine (SVM)
(23)
(5)
Publication Date
Wed Mar 27 2019
Enhanced Cartooning System Based on Dynamic Augmented KMCG and LIP
KMCG
Cartoon
Vector Quantitation
LIP
The Non-Photorealistic Rendering (NPR) demands are increased with the development of electronic devices. This paper presents a new model for a cartooning system, as an essential category of the NPR. It is used the concept of vector quantization and Logarithmic Image Processing (LIP). An enhancement of Kekre Median Codebook Generation (KMCG) algorithm has been proposed and used by the system. Several metrics utilized to evaluate the time and quality of the system. The results showed that the proposed system reduced the time of cartoon production. Additionally, it enhanced the quality of several aspects like smoothing, color reduction, and brightness.
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