International Journal of Management and Applied Science (IJMAS)
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Statistics report
Nov. 2018
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 54
Paper Published : 3316
No. of Authors : 6857
  Journal Paper




Paper Title :
Implementation of Digital Focus Indexes for Open Source-Based Flat Form

Author :Hyungtae Kim, Seungtaek Kim, Jeongin Koo, Junheoun Hwang, Sunghyun Lee

Article Citation :Hyungtae Kim ,Seungtaek Kim ,Jeongin Koo ,Junheoun Hwang ,Sunghyun Lee , (2017 ) " Implementation of Digital Focus Indexes for Open Source-Based Flat Form " , International Journal of Management and Applied Science (IJMAS) , pp. 15-18, Volume-3,Issue-2

Abstract : Digital focus indexes represents image quality of achine vision system and have been applied to digital microscopy and autofocus. Despite the usefulness of the digital focus indexes, many machine vision libraries have not been supported the indexes. This study investigated the digital focus indexes which can be applied to industrial machine vision, and developed an SDK library compatible with gcc and OpenCV. The SDK library was installed in an embedded camera based on ARM Linux. The SDK library was tested using PCB images which were acquired by focus and light variation. Automatic focusing and lighting can be implemented considering the maximum of the index variation. The SDK library of digital focus indexes cam be applied to industrial machine vision. Index Terms- Digital focus index, OpenCV, Embedded Linux, image quality.

Type : Research paper

Indexed : Google Scholar


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