rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Applications of Hybrid Metaheuristic Algorithms for Image Processing
  name:
    name part: Oliva, Diego.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Hinojosa, Salvador.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2020
    edition: 1st ed. 2020.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (IX, 490 pages 313 illustrations, 221 illustrations in color.)
  abstract: This book presents a collection of the most recent hybrid methods for image processing. The algorithms included consider evolutionary, swarm, machine learning and deep learning. The respective chapters explore different areas of image processing, from image segmentation to the recognition of objects using complex approaches and medical applications. The book also discusses the theory of the methodologies used to provide an overview of the applications of these tools in image processing. The book is primarily intended for undergraduate and postgraduate students of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence. Further, it is a valuable resource for researchers from the evolutionary computation, artificial intelligence and image processing communities.
  table of contents: Segmentation Of Thermal Images By Means Of Metaheuristic Algorithms, For Failure Detection And Preventive Maintenance Of Electronic Systems -- A Survey on Image Processing for Hyperspectral and Remote Sensing Images -- Hybrid Grey-Wolf Optimizer Based Fractional Order Optimal Filtering for Texture Aware Quality Enhancement for Remotely Sensed Images -- Robust K- Means Technique For Band Reduction On Hyperspectral Image Segmentation -- Ethnic Characterization In Amalgamated People For Airport Security Using A Repository Of Images And Pigeon-Inspired Optimization (Pio) Algorithm For The Improvement Of Their Results} -- Multi-Level Image Thresholding Segmentation Using Non-Local Means 2d Histogram And Metaheuristics Algorithms -- Comparison Of Metaheuristic Methods For Template Matching -- Novel Feature Extraction Strategies Supporting 2d Shape Description And Retrieval -- Clustering Data Using Techniques Of Image Processing Erode And Dilate To Avoid The Use Of Euclidian Distance -- Estimation Of The Homography Matrix To Image Stitching -- Active Contour Model in Deep Learning Era: A Revise and Review -- Comparison of Evolutionary Techniques for Car Accident Prediction -- Salp Swarm Algorithm: A Comprehensive Review -- Segmentation Of Magnetic Resonance Brain Images Through The Self-Adaptive Differential Evolution Algorithm And The Minimum Cross-Entropy Criterion -- Automatic Detection Of Malignant Masses In Digital Mammograms Based On A Mcet-Hho Approach -- Cancer Cell Prediction using Machine Learning and Evolutionary Algorithms -- Meta Heuristic Approach of RMDL Classification of Parkinson's disease -- Fuzzy- Crow Search Optimization for Medical Image Segmentation -- Intelligent System For The Visual Support Of Caloric Intake Of Food In Inhabitants Of A Smart City Using A Deep Learning Model -- Image Thresholding with Metaheuristic Algorithms for Cerebral Injuries -- Generative Adversarial Network And Retinal Image Segmentation.
  note: edited by Diego Oliva, Salvador Hinojosa.
  subject:
    topic: Computational intelligence
  subject:
    topic: Artificial intelligence
  subject:
    topic: Signal processing
  subject:
    topic: Image processing
  subject:
    topic: Speech processing systems
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Signal, Image and Speech Processing
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Studies in Computational Intelligence, 890
  identifier: 9783030409777
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 200327
    record change date: 20230330185114.0
    record identifier: in00004378972