2 809 kr

Beställningsvara. Skickas inom 10-15 vardagar
Fri frakt för medlemmar vid köp för minst 249 kr.

The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing. It further discusses optimized image segmentation, its analysis, pattern recognition, and object detection.Features:Discusses machine learning-based analytics such as GAN networks, autoencoders, computational imaging, and quantum computingCovers deep learning algorithms in computer visionShowcases novel solutions such as multi-resolution analysis in imaging processing, and metaheuristic algorithms for tackling challenges associated with image processingHighlight optimization problems such as image segmentation and minimized feature design vectorPresents platform and simulation tools for image processing and segmentationThe book aims to get the readers familiar with the fundamentals of computational intelligence as well as the recent advancements in related technologies like smart applications of digital images, and other enabling technologies from the context of image processing and computer vision. It further covers important topics such as image watermarking, steganography, morphological processing, and optimized image segmentation. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields including electrical engineering, electronics, communications engineering, and computer engineering.

Produktinformation

  • Utgivningsdatum2023-11-02
  • Mått156 x 234 x 26 mm
  • Vikt640 g
  • FormatInbunden
  • SpråkEngelska
  • Antal sidor326
  • FörlagTaylor & Francis Ltd
  • ISBN9781032392950

Du kanske också är intresserad av