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Signal Processed Texture Features

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Texture Feature Extraction Techniques for Image Recognition

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSINTELL))

Abstract

Signal processing methods analyze the frequency content of the image. Texture features are then extracted from the transformed (frequency domain) images.

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Author information

Authors and Affiliations

  1. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India

    Jyotismita Chaki

  2. Department of Information Technology, Techno India College of Technology, Kolkata, India

    Nilanjan Dey

Authors
  1. Jyotismita Chaki
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  2. Nilanjan Dey
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Corresponding author

Correspondence to Jyotismita Chaki .

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© 2020 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Chaki, J., Dey, N. (2020). Signal Processed Texture Features. In: Texture Feature Extraction Techniques for Image Recognition. SpringerBriefs in Applied Sciences and Technology(). Springer, Singapore. https://doi.org/10.1007/978-981-15-0853-0_4

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