International Journal of Electrical and Computer Engineering
Vol 8, No 5: October 2018

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

Jufriadif Na'am (Universitas Putra Indonesia YPTK Padang)
Julius Santony (Universitas Putra Indonesia YPTK Padang)
Yuhandri Yuhandri (Universitas Putra Indonesia YPTK Padang)
Sumijan Sumijan (Universitas Putra Indonesia YPTK Padang)
Gunadi Widi Nurcahyo (Universitas Putra Indonesia YPTK Padang)

Article Info

Publish Date
01 Dec 2018


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.

Copyrights © 2018

Journal Info





Computer Science & IT Electrical & Electronics Engineering


International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of ...