Explore
Advances in Image Segmentation
0 Ungluers have
Faved this Work
Login to Fave
The field of digital image segmentation is continually evolving. Most recently, the advanced segmentation methods such as Template Matching, Spatial and Temporal ARMA Processes, Mean Shift Iterative Algorithm, Constrained Compound Markov Random Field (CCMRF) model and Statistical Pattern Recognition (SPR) methods form the core of a modernization effort that resulted in the current text. This new edition of "Advanced Image Segmentation" is but a reflection of the significant progress that has been made in the field of image segmentation in just the past few years. The book presented chapters that highlight frontier works in image information processing.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 12 times via unglue.it ebook links.
- 12 - pdf (CC BY) at mts.intechopen.com.
Keywords
- artificial intelligence
- Computer science
- Computer vision
- Computing & information technology
- Image processing
Links
DOI: 10.5772/3425Editions