Enlarge Medical Image using Line-Column Interpolation (LCI) Method

Jufriadif Na'am, Julius Santony, Yuhandri Yuhandri, Sumijan Sumijan, Gunadi Widi Nurcahyo

Abstract


Quality of medical image has an important role in constructing right medical diagnosis. This paper recommends a method to improve the quality of medical images by increasing the size of the image pixels. By increasing the size of pixels, the size of the objects contained therein is also greater, making it easier to observe. In this study medical images of Brain CT-Scan, Chest X-Ray and Panoramic X-Ray were processed using Line-Column Interpolation (LCI) Method. The results of the treatment are then compared to Nearest Neighbor Interpolation (NNI), Bilinear Interpolation (BLI) and Bicubic Interpolation (BCI) processing results. The experiment shows that Line-Column Interpolation Method produces a larger image with details of the objects in it are not blurred and has equal visual effects. Thus, this method is expected to be a reference material in enlarging the size of the medical image for ease in clinical analysis.


Keywords


bicubic interpolation; bilinear interpolation; enlarge; line-column interpolation; medical image; nearest neighbor; interpolation

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DOI: http://doi.org/10.11591/ijece.v8i5.pp3620-3626

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International Journal of Electrical and Computer Engineering (IJECE)
p-ISSN 2088-8708, e-ISSN 2722-2578

This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).