|
Showing 1 - 3 of
3 matches in All Departments
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. Discusses machine learning-based analytics such as GAN
networks, autoencoders, computational imaging, and quantum
computing. Covers deep learning algorithms in computer vision.
Showcases novel solutions such as multi-resolution analysis in
imaging processing, and metaheuristic algorithms for tackling
challenges associated with image processing. Highlight optimization
problems such as image segmentation and minimized feature design
vector. Presents platform and simulation tools for image processing
and segmentation. The 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.
|
You may like...
Nope
Jordan Peele
Blu-ray disc
R132
Discovery Miles 1 320
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.