IMAGE DIFFERENCES ANALYSIS USING FINDCONTOURS

One of the common problems in find the difference games is trying to quickly and accurately detect the difference between two pictures. Especially if the image has a similar appearance that is difficult to detect with the naked eye. For example, in a game, many of them have difficulty distinguishing based on color, number of objects, pattern complexity, or the like. This project concentrates on how the system can look for differences in the two images by the color of each pixel. Images taken via the neok12 and hellokids websites will then be checked for differences in each pixel and use the findContours algorithm to extract the contours. The results obtained from this study are 72% success in detecting differences and having an error rate of 28% in 50 trials using 100 images.

Authors

Institutions

Publication Details

Journal
Proxies Jurnal Informatika
Published
2024-08-29
DOI
https://doi.org/10.24167/proxies.v7i1.12467
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IMAGE DIFFERENCES ANALYSIS USING FINDCONTOURS

Kevin Juan Rizky Hutomo
Proxies Jurnal Informatika
Remote Sensing and LiDAR Applications
article

IMAGE DIFFERENCES ANALYSIS USING FINDCONTOURS

Kevin Juan Rizky Hutomo
article en

Abstract

One of the common problems in find the difference games is trying to quickly and accurately detect the difference between two pictures. Especially if the image has a similar appearance that is difficult to detect with the naked eye. For example, in a game, many of them have difficulty distinguishing based on color, number of objects, pattern complexity, or the like. This project concentrates on how the system can look for differences in the two images by the color of each pixel. Images taken via the neok12 and hellokids websites will then be checked for differences in each pixel and use the findContours algorithm to extract the contours. The results obtained from this study are 72% success in detecting differences and having an error rate of 28% in 50 trials using 100 images.

Proxies Jurnal InformatikaVol. 7(1)
Soegijapranata Catholic University (ID)
Openalex Percentile: Top 87%
Remote Sensing and LiDAR Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.