Kurniastuti, Ima (2018) Active Shape Model In Automatic Segmentation Of Hand Fingernail Image. The 1st International Conference on Technopreneurship and Education 2018. pp. 452-456. ISSN 978-602-5649-417
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Abstract
This paper presents a new method for segmentation of hand fingernail image. This method done by automatically to get fingernail area. The method consists of three steps are grayscaling, a process which change color image to grayscale image, contrast stretching to repair contrast in the image and the last process is active shape model as a process which produce fingernail area. From this research is known that active shape model be able to find fingernail area in the image. Hence, active shape model can segmenting fingernail area with some suggestion.
Item Type: | Article |
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Uncontrolled Keywords: | active shape model; hand fingernail image; image segmentation; fingernail image; segmentation of hand fingernail image |
Subjects: | Q Science > QA Mathematics > QA76 Computer software |
Divisions: | Faculty of Technique > Program Study of Information Systems |
Depositing User: | Mr. . Aji |
Date Deposited: | 24 Feb 2021 07:45 |
Last Modified: | 24 Feb 2021 08:05 |
URI: | http://repository.unusa.ac.id/id/eprint/6417 |
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