Name
Abstract | ||
|---|---|---|
ABSTRACT When working in image and video segmentation, the major objective is to design an algorithm,producing,the appropriate segmentation,results for the particular goals of the application addressed. Therefore, the assessment of the segmentation quality assumes,a crucial importance,to evaluate the likeliness that the application targets are met. Since,no well-established ,methods ,for ,objective segmentation quality evaluation are currently available, this paper’s major ,goal is to propose ,objective metrics for the evaluation,of ,relative segmentation ,quality for ,both individual objects and the overall segmentation,partition. The paper presents a methodology,for performing,objective evaluation of relative segmentation quality, identifies the relevant,features ,to be ,compared ,against ,those ,of the reference segmentation, and proposes appropriate objective quality,metrics. These ,metrics ,build ,on the ,existing knowledge,on segmentation ,quality evaluation ,and ,also on some,relevant aspects from the video quality evaluation field. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/ICIP.2000.900956 | Image Processing, 2000. Proceedings. 2000 International Conference |
Keywords | Field | DocType |
image segmentation,image sequences,video signal processing,application targets,image segmentation,objective metrics,relative segmentation quality,video segmentation | Data mining,Computer vision,Algorithm design,Computer science,Segmentation,Image segmentation,Artificial intelligence,Video quality | Conference |
Volume | ISSN | ISBN |
1 | 1522-4880 | 0-7803-6297-7 |
Citations | PageRank | References |
28 | 3.08 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paulo Correia | 1 | 28 | 3.08 |
| Fernando Pereira | 2 | 97 | 10.38 |