Texture Feature Extraction Techniques for Image Recognition (SpringerBriefs in Computational Intelligence) (SpringerBriefs in Applied Sciences and Technology)

by Jyotismita Chaki and Nilanjan Dey

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Book cover for Texture Feature Extraction Techniques for Image Recognition

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The book describes various texture feature extraction approaches and texture analysis applications. It introduces and discusses the importance of texture features, and describes various types of texture features like statistical, structural, signal-processed and model-based. It also covers applications related to texture features, such as facial imaging. It is a valuable resource for machine vision researchers and practitioners in different application areas.

  • ISBN13 9789811508523
  • Publish Date 6 November 2019
  • Publish Status Active
  • Publish Country SG
  • Imprint Springer Verlag, Singapore
  • Edition 1st ed. 2020
  • Format Paperback
  • Pages 100
  • Language English