Efficient Segmentation Using Gamma Correction with Complement Image of Chinese Rubbing Image

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationIntelligent Computing Theories and Application - 16th International Conference, ICIC 2020, Proceedings
EditorsDe-Shuang Huang, Vitoantonio Bevilacqua, Abir Hussain
PublisherSpringer Nature Switzerland AG
Pages323-328
VolumePart I
ISBN (electronic)9783030607999
ISBN (print)9783030607982
Publication statusPublished - Oct 2020

Publication series

NameLecture Notes in Computer Science
Volume12463
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

Conference

Title16th International Conference on Intelligent Computing (ICIC 2020)
PlaceItaly
CityBari
Period2 - 5 October 2020

Abstract

For Chinese rubbing image under the complex background, to against its characteristic of low contrast and large noise, we develop a gamma correction enhancement algorithm in which the grayscale space is being conducted before the Otsu’s binarization, experiments on multiple pictures show the superiority of the algorithm. At first, the global contrast is enhanced based on the gamma correct algorithm for the complement image of the Chinese rubbing image. After that, we have implemented optimum global thresholding using Otsu’s method for image segmentation. The experimental results show that our algorithm could correct the background noise of the image and enhance the stroke in the low contrast Chinese rubbing image, and there is no need to denoise in advance. The performance of the algorithm is simple, fast, and produces very good segmentation.

Research Area(s)

  • Chinese rubbing image, Contrast enhancement, Gamma correction, Image segmentation, Thresholding image

Citation Format(s)

Efficient Segmentation Using Gamma Correction with Complement Image of Chinese Rubbing Image. / Huang, Han; Ma, Yong-Li.
Intelligent Computing Theories and Application - 16th International Conference, ICIC 2020, Proceedings. ed. / De-Shuang Huang; Vitoantonio Bevilacqua; Abir Hussain. Vol. Part I Springer Nature Switzerland AG, 2020. p. 323-328 (Lecture Notes in Computer Science; Vol. 12463).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review