Presentation 2022-02-21
Statistical Analysis on Estimation of Laparoscopic Image Region of Interest Including Contrast Enhancement Based on Saliency Map
Norifumi Kawabata, Toshiya Nakaguchi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In the medical field such as hospital, there are many chance for medical workers to see medical images visually. Therefore, it is needed where body regions, where the importance information they gaze. Of course, medical workers judge from their knowledge as one of methods. However, if it is possible to present some clues for Region Of Interest (ROI) by using computer in advance, we consider that it is possible to carry out the computer aided diagnosis. In this paper, before and after processing of contrast enhancement for laparoscopic images, first we carried out experiments how estimation region for ROI is changed using saliency map. Next, for estimation of ROI, we measured area in an image, and then we visualized experimental result by calculating numerical value in detail. Finally, from experimental result and visualization obtained in this study, we analyzed statistically, and then discussed for overall.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Laparoscopic Image / Contrast Enhancement / Region Of Interest (ROI) / Saliency Map / Visual Attention / Area / Statistical Analysis
Paper # ITS2021-34,IE2021-43
Date of Issue 2022-02-14 (ITS, IE)

Conference Information
Committee IE / ITS / ITE-AIT / ITE-ME / ITE-MMS
Conference Date 2022/2/21(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Image Processing, etc.
Chair Kazuya Kodama(NII) / Masahiro Fujii(Utsunomiya Univ.) / Hisaki Nate(Tokyo Polytechnic Univ.) / Hiroyuki Arai(Nippon Inst. of Tech.) / Kenji Machida(NHK)
Vice Chair Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(Univ. of Tokyo) / Kohei Ohno(Meiji Univ.) / Naohisa Hashimoto(AIST) / / Shogo Muramatsu(Niigata Univ.)
Secretary Hiroyuki Bandoh(KDDI Research) / Toshihiko Yamazaki(Nagoya Inst. of Tech.) / Kohei Ohno(Akita Prefectural Univ.) / Naohisa Hashimoto(NIT, Tsuruoka College) / / Shogo Muramatsu(NHK) / (Hokkaido Univ.)
Assistant Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) / Msataka Imao(Mitsubishi Electric) / Kenshi Saho(Toyama Prefectural Univ.) / Keiji Jimi(Gunma Univ.)

Paper Information
Registration To Technical Committee on Image Engineering / Technical Committee on Intelligent Transport Systems Technology / Technical Group on Artistic Image Technology / Technical Group on Media Engineering / Technical Group on Multi-media Storage
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Statistical Analysis on Estimation of Laparoscopic Image Region of Interest Including Contrast Enhancement Based on Saliency Map
Sub Title (in English)
Keyword(1) Laparoscopic Image
Keyword(2) Contrast Enhancement
Keyword(3) Region Of Interest (ROI)
Keyword(4) Saliency Map
Keyword(5) Visual Attention
Keyword(6) Area
Keyword(7) Statistical Analysis
1st Author's Name Norifumi Kawabata
1st Author's Affiliation Hokkaido University(Hokkaido Univ.)
2nd Author's Name Toshiya Nakaguchi
2nd Author's Affiliation Chiba University(Chiba Univ.)
Date 2022-02-21
Paper # ITS2021-34,IE2021-43
Volume (vol) vol.121
Number (no) ITS-373,IE-374
Page pp.pp.55-60(ITS), pp.55-60(IE),
#Pages 6
Date of Issue 2022-02-14 (ITS, IE)