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Preprocessing of Non-symmetrical Images for Edge Detection

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Abstract

One of the important parts of computer vision is segmenting an image into various uses. The key objective of any segmentation technique is to stop the segmentation at a point beyond which it is unnecessary. The images in which objects are surrounded by asymmetric background show all the edges of the background too, when traditional techniques of edge detection were used. Hence, it was difficult to recognize the actual components in the image. This paper is about the use of preprocessing techniques so that we can refine the result and obtain only the edges which are necessary excluding the background noise. The designing and testing of all the methods have been done on MATLAB software.

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Acknowledgements

The authors are grateful to Mukesh Patel Institute of Technology, NMIMS, Indus University and School of Technology, Pandit Deendayal Petroleum University for the permission to publish this research.

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Authors and Affiliations

  1. Computer Science Engineering Student, Mukesh Patel Institute of Technology, NMIMS, Shirpur, Maharashtra, India

    Meet Gandhi

  2. Department of Computer Engineering, Indus University, Ahmedabad, Gujarat, India

    Juhi Kamdar

  3. Department of Chemical Engineering, School of Technology, Pandit Deendayal Petroleum University, Gandhinagar, Gujarat, India

    Manan Shah

Authors
  1. Meet Gandhi
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  2. Juhi Kamdar
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  3. Manan Shah
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Contributions

All the authors make substantial contribution in this manuscript. MG, JK and MS participated in drafting the manuscript. MG and JK wrote the main manuscript, all the authors discussed the results and implication on the manuscript at all stages.

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Correspondence to Manan Shah.

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Gandhi, M., Kamdar, J. & Shah, M. Preprocessing of Non-symmetrical Images for Edge Detection. Augment Hum Res 5, 10 (2020). https://doi.org/10.1007/s41133-019-0030-5

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