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An Auto-Threshold Control for Isolating False Shadow from High-Resolution Images

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Sensors and Image Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 651))

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Abstract

Digital image processing helps to extract the useful information from images for further investigations and analysis. Pre-processing of images, such as removal of noise and shadows, improves the quality of the high-resolution images for image recognition and tracking. In this paper, an optimal filter is recommended from its performance metrics for reducing speckle noise from the high-resolution images. The objective of the paper is to isolate the deceptive shadow from the original shadow, which is dark in color but is falsely treated as a shadow. Purging the false shadow is done by exploring the appropriate threshold value of a shadow region. Experiments show that our proposed method with auto-threshold control helps to isolate the deceptive shadow.

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Authors and Affiliations

  1. Hindustan Institute of Technology and Science, Chennai, India

    K. Komathy

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  1. K. Komathy
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Correspondence to K. Komathy .

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Editors and Affiliations

  1. Gautam Buddha University, Greater Noida, Uttar Pradesh, India

    Shabana Urooj

  2. Department of Electrical and Instrumentation Engineering, Thapar University, Patiala, Punjab, India

    Jitendra Virmani

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Komathy, K. (2018). An Auto-Threshold Control for Isolating False Shadow from High-Resolution Images. In: Urooj, S., Virmani, J. (eds) Sensors and Image Processing. Advances in Intelligent Systems and Computing, vol 651. Springer, Singapore. https://doi.org/10.1007/978-981-10-6614-6_27

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  • DOI: https://doi.org/10.1007/978-981-10-6614-6_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6613-9

  • Online ISBN: 978-981-10-6614-6

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