| Item type |
SIG Technical Reports(1) |
| 公開日 |
2016-08-29 |
| タイトル |
|
|
タイトル |
Skin Analysis Using Sulcus Cutis Extraction |
| タイトル |
|
|
言語 |
en |
|
タイトル |
Skin Analysis Using Sulcus Cutis Extraction |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
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|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
|
資源タイプ |
technical report |
| 著者所属 |
|
|
|
University of Oklahoma |
| 著者所属 |
|
|
|
The University of Electro-Communications |
| 著者所属 |
|
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The University of Electro-Communications |
| 著者所属(英) |
|
|
|
en |
|
|
University of Oklahoma |
| 著者所属(英) |
|
|
|
en |
|
|
The University of Electro-Communications |
| 著者所属(英) |
|
|
|
en |
|
|
The University of Electro-Communications |
| 著者名 |
Christopher, Tse
Chikako, Shibata
Hiroki, Takahashi
|
| 著者名(英) |
Christopher, Tse
Chikako, Shibata
Hiroki, Takahashi
|
| 論文抄録 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
In an effort to create a smartphone application which can analyze images of skin in order to obtain information about skin health, a reliable image segmentation method is needed. This research focuses on the analysis and segmentation of sulcus cutis in magnified images of human skin, specifically experimenting with the use of the watershed segmentation algorithm. Just using this algorithm was not sufficient until combined with other algorithms such as Contrast Limited Adaptive Histogram Equalization (CLAHE) and a bilateral filter. These two algorithms improved the watershed algorithm's ability to perform the desired segmentation, although currently research is still being performed to increase the accuracy of the output of the watershed algorithm. Currently the process relies heavily on manual user input, and the methods used may need to be changed in order to automate the process when put into a smartphone application. |
| 論文抄録(英) |
|
|
内容記述タイプ |
Other |
|
内容記述 |
In an effort to create a smartphone application which can analyze images of skin in order to obtain information about skin health, a reliable image segmentation method is needed. This research focuses on the analysis and segmentation of sulcus cutis in magnified images of human skin, specifically experimenting with the use of the watershed segmentation algorithm. Just using this algorithm was not sufficient until combined with other algorithms such as Contrast Limited Adaptive Histogram Equalization (CLAHE) and a bilateral filter. These two algorithms improved the watershed algorithm's ability to perform the desired segmentation, although currently research is still being performed to increase the accuracy of the output of the watershed algorithm. Currently the process relies heavily on manual user input, and the methods used may need to be changed in order to automate the process when put into a smartphone application. |
| 書誌レコードID |
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収録物識別子タイプ |
NCID |
|
収録物識別子 |
AN10100541 |
| 書誌情報 |
研究報告コンピュータグラフィックスとビジュアル情報学（CG）
巻 2016-CG-163,
号 7,
p. 1-6,
発行日 2016-08-29
|
| ISSN |
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収録物識別子タイプ |
ISSN |
|
収録物識別子 |
2188-8949 |
| Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
|
|
言語 |
ja |
|
出版者 |
情報処理学会 |
IPSJ-CG16163007.pdf (987.4 kB)
