Lindblad, Joakim
- Centre for Image Analysis, Sveriges lantbruksuniversitet
Sammanfattning
By utilizing intensity information available in images, partial coverage of pixels at object borders can be estimated. Such information can, in turn, provide more precise feature estimates. We present a pixel coverage segmentation method which assigns pixel values corresponding to the area of a pixel that is covered by the imaged object(s). Starting from any suitable crisp segmentation, we extract a one-pixel thin 4-connected boundary between the observed image components where a local linear mixture model is used for estimating fractional pixel coverage values. We evaluate the presented segmentation method, as well as its usefulness for subsequent precise feature estimation, on synthetic test objects with increasing levels of noise added. We conclude that for reasonable noise levels the presented method outperforms the achievable results of a perfect crisp segmentation. Finally, we illustrate the application of the suggested method on a real histological colour image
Publicerad i
Lecture Notes in Computer Science
2009, volym: 5716, sidor: 929-938
Titel: Image Analysis and Processing - ICIAP 2009
Utgivare: Springer
Konferens
15th International Conference on Image Analysis and Processing (ICIAP 2009), SEP 08-11, 2009, Vietri sul Mare, ITALY
SLU författare
UKÄ forskningsämne
Datavetenskap (datalogi)
Publikationens identifierare
- DOI: https://doi.org/10.1007/978-3-642-04146-4_99
- ISBN: 978-3-642-04145-7
Permanent länk till denna sida (URI)
https://res.slu.se/id/publ/27339