The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Theoretical Concepts and Technical Aspects on Image Segmentation
Abstract
Image segmentation is the process of partitioning a digital image into multiple segments (super pixels). Segmentation is typically used to locate objects and boundaries in images. The result of segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted from the image. Each of the pixels in a region is similar with respect to some characteristic or computed property. Adjacent regions are significantly different with respect to the same characteristics. A predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image is defined. An important characteristic of the method is its ability to preserve detail in low-variability image regions and ignoring detail in high variability regions. This chapter discuss basic aspects of segmentation and an application and presents a detailed assessment on different methods in image segmentation and discusses a case study on it.
Related Content
|
Aswathy Ravikumar, Harini Sriraman.
© 2023.
18 pages.
|
|
Ezhilarasie R., Aishwarya N., Subramani V., Umamakeswari A..
© 2023.
10 pages.
|
|
Sangeetha J..
© 2023.
13 pages.
|
|
Manivannan Doraipandian, Sriram J., Yathishan D., Palanivel S..
© 2023.
14 pages.
|
|
T. Kavitha, Malini S., Senbagavalli G..
© 2023.
36 pages.
|
|
Uma K. V., Aakash V., Deisy C..
© 2023.
23 pages.
|
|
Alageswaran Ramaiah, Arun K. S., Yathishan D., Sriram J., Palanivel S..
© 2023.
17 pages.
|
|
|