Presentation 2015-09-04
Modification of light intensity for image recognition using regression analysis
Hiroo Tsuji, Yohei Fukumizu, Takakuni Douseki, Hironori Yamauchi, Ayumi Yoshikawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Various image recognition methods are proposed for reading the contents of the license plate in security cameras. In order to improve the image recognition accuracy, a technique for modification of light intensity in the license plate is important. In this paper, we propose a method for modification of light intensity using regression analysis. The proposed method controls the amount of modification by learning the parameters of the regression function from the luminance of the license plate image to adapt to changes in lighting conditions. The image obtained from the proposed method is the subtraction image which preserve image information so that the proposed method is effective in image contrast improvement. In this paper, we compared the proposed method with the Retinex-based image enhancement in respect of visual evaluation of the image quality and image recognition accuracy. As a result, the image contrast of the proposed method was higher than the image contrast of the Retinex-based method. Moreover, the image recognition accuracy of the proposed method was better than the image recognition accuracy of the Retinex-based method, and the difference of the fitness increase ratio between the proposed method and the Retinex-based method is about 11% on average.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) image enhancement / tone correction / luminosity compensation / regression analysis / image recognition / Retinex theory
Paper # SIS2015-25
Date of Issue 2015-08-27 (SIS)

Conference Information
Committee SIS / IPSJ-AVM
Conference Date 2015/9/3(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kansai Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) Smart Multimedia Systems, etc.
Chair Mitsuji Muneyasu(Kansai Univ.) / Wataru Kameyama(Waseda Univ.)
Vice Chair Hirokazu Tanaka(Hiroshima City Univ.) / Takayuki Nakachi(NTT)
Secretary Hirokazu Tanaka(Nagoya City Univ.) / Takayuki Nakachi(Toshiba) / (Waseda Univ.)
Assistant Hiroyuki Tsuji(Kanagawa Inst. of Tech.) / Hakaru Tamukoh(Kyushu Inst. of Tech.)

Paper Information
Registration To Technical Committee on Smart Info-Media System / Special Interest Group on Audio Visual and Multimedia Information Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Modification of light intensity for image recognition using regression analysis
Sub Title (in English)
Keyword(1) image enhancement
Keyword(2) tone correction
Keyword(3) luminosity compensation
Keyword(4) regression analysis
Keyword(5) image recognition
Keyword(6) Retinex theory
1st Author's Name Hiroo Tsuji
1st Author's Affiliation Forensic Science Laboratory, Shiga Prefectural Police Headquarters(Shiga Prefectural Police)
2nd Author's Name Yohei Fukumizu
2nd Author's Affiliation Ritsumeikan University(Ritsumeikan Univ.)
3rd Author's Name Takakuni Douseki
3rd Author's Affiliation Ritsumeikan University(Ritsumeikan Univ.)
4th Author's Name Hironori Yamauchi
4th Author's Affiliation Ritsumeikan University(Ritsumeikan Univ.)
5th Author's Name Ayumi Yoshikawa
5th Author's Affiliation Konan University(Konan Univ.)
Date 2015-09-04
Paper # SIS2015-25
Volume (vol) vol.115
Number (no) SIS-208
Page pp.pp.63-68(SIS),
#Pages 6
Date of Issue 2015-08-27 (SIS)