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Diminishing Variant Illumination Factor in Object Recognition

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Intelligent Information and Database Systems (ACIIDS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10192))

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Abstract

Undetected object(s) from a camera due to a poor condition of light intensity, or shadow that appears are problems that can occurs in object detection. This can lead to a loss, especially when applied in the industrial world. The purpose of this research is to fix an illumination factor, particularly the shadow factor on an image that will be detected by combining two methods, namely adaptive single scale retinex and shadow removal. Smoothing from retinex and shadow removal process are performed after an image is captured. Accuracy of object detection obtained is 95.45%, using experimental image detection program and random sampling method from 22 images of two datasets used in this study. Namely “Shadow Removal Online Dataset and Benchmark for Variable Scene Categories” and “Klik BCA” which obtained from the simulation process. This method can be applied to real time conditions, where the speed of the process is stable and fast enough such that it can be applied into industrial companies to help their quality control.

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Author information

Authors and Affiliations

  1. School of Computer Science, Bina Nusantara University, Jl KH Syahdan 9, Jakarta, 11480, Indonesia

    Ardian Yunanto

  2. Doctoral Study Program in Computer Science, Bina Nusantara University, Jl KH Syahdan 9, Jakarta, 11480, Indonesia

    Iman Herwidiana Kartowisastro

Authors
  1. Ardian Yunanto
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  2. Iman Herwidiana Kartowisastro
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Corresponding authors

Correspondence to Ardian Yunanto or Iman Herwidiana Kartowisastro .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Japan Advanced Institute of Science and Technology, Nomi, Japan

    Satoshi Tojo

  3. Japan Advanced Institute of Science and Technology, Nomi, Japan

    Le Minh Nguyen

  4. Wrocław University of Science and Technology, Wroclaw, Poland

    Bogdan Trawiński

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Yunanto, A., Kartowisastro, I.H. (2017). Diminishing Variant Illumination Factor in Object Recognition. In: Nguyen, N., Tojo, S., Nguyen, L., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science(), vol 10192. Springer, Cham. https://doi.org/10.1007/978-3-319-54430-4_54

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  • DOI: https://doi.org/10.1007/978-3-319-54430-4_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54429-8

  • Online ISBN: 978-3-319-54430-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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