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Applicability of Self-Organizing Maps in Content-Based Image Classification

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Proceedings of International Conference on Computer Vision and Image Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 459))

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Abstract

Image databases are getting larger and diverse with the coming up of new imaging devices and advancements in technology. Content-based image classification (CBIC) is a method to classify images from large databases into different categories, on the basis of image content. An efficient image representation is an important component of a CBIC system. In this paper, we demonstrate that Self-Organizing Maps (SOM)-based clustering can be used to form an efficient representation of an image for a CBIC system. The proposed method first extracts Scale-Invariant Feature Transform (SIFT) features from images. Then it uses SOM for clustering of descriptors and forming a Bag of Features (BOF) or Vector of Locally Aggregated Descriptors (VLAD) representation of image. The performance of proposed method has been compared with systems using k-means clustering for forming VLAD or BOF representations of an image. The classification performance of proposed method is found to be better in terms of F-measure (FM) value and execution time.

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Authors and Affiliations

  1. National Institute of Technology, Hamirpur, 177005, Himachal Pradesh, India

    Kumar Rohit

  2. Indian Institute of Space Science and Technology, Thiruvananthapuram, 695547, Kerala, India

    R. K. Sai Subrahmanyam Gorthi & Deepak Mishra

Authors
  1. Kumar Rohit
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  2. R. K. Sai Subrahmanyam Gorthi
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  3. Deepak Mishra
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Corresponding author

Correspondence to Kumar Rohit .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Balasubramanian Raman

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Sanjeev Kumar

  3. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Partha Pratim Roy

  4. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Debashis Sen

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Rohit, K., Sai Subrahmanyam Gorthi, R.K., Mishra, D. (2017). Applicability of Self-Organizing Maps in Content-Based Image Classification. In: Raman, B., Kumar, S., Roy, P., Sen, D. (eds) Proceedings of International Conference on Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 459. Springer, Singapore. https://doi.org/10.1007/978-981-10-2104-6_28

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  • DOI: https://doi.org/10.1007/978-981-10-2104-6_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2103-9

  • Online ISBN: 978-981-10-2104-6

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