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Parametric based morphological transformation for contrast enhancement of color images in poor-lighting

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Abstract

The objective of contrast operators consists in normalizing the gray levels of the input image for the purpose of avoiding abrupt changes in intensity among different regions. In this paper morphological transformations are used to detect the background in color images characterized by poor lighting. The disadvantage of contrast enhancement as studied in previous contrast enhancement algorithms is over illumination. An efficient algorithm is introduced to tackle the problem of over illumination by controlling the intensities at dark and bright regions of an image and preserve the geometry of the object. Finally the performance of the proposed algorithm is illustrated through the processing of gray scale images and color images with different backgrounds.

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Authors and Affiliations

  1. Department of Information Technology, R.V.R & J.C College of Engineering, ANU, Guntur, Andhra Pradesh, 522 019, India

    ATLURI SRIKRISHNA, M POMPAPATHI & G SRINIVASA RAO

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  1. ATLURI SRIKRISHNA
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  2. M POMPAPATHI
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  3. G SRINIVASA RAO
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Correspondence to ATLURI SRIKRISHNA.

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SRIKRISHNA, A., POMPAPATHI, M. & RAO, G.S. Parametric based morphological transformation for contrast enhancement of color images in poor-lighting. Sadhana 40, 395–410 (2015). https://doi.org/10.1007/s12046-015-0347-9

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  • DOI: https://doi.org/10.1007/s12046-015-0347-9

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