NDLI: Feature based merging of application specific regions

Content Provider	IEEE Xplore Digital Library
Author	Rydberg, A. Borgefors, G.
Copyright Year	2001
Description	Author affiliation: Centre for Image Analysis, Swedish Univ. of Agric. Sci., Uppsala, Sweden (Rydberg, A.)
Abstract	Over-segmentation is a common problem for all kinds of segmentation tasks. Automated segmentation of natural scenes is no exception. This paper proposes a solution to the over-segmentation problem, with the emphasis on satellite images of farmland. In many cases, an agricultural field can be considered as a flat region having a rather large area, a compact shape, and straight region boundaries because it is a man-made object. Our approach for dividing farmland into individual field units uses region shape, as well as spectral information, when merging over-segmented regions. The results from the presented method are compared to two different methods of segmentation as well as interpreted field boundaries. The results show that task-specific knowledge adds important information to the decision step for the merging procedure of regions. About 70% of the edges are classified within one pixel away from the ground truth edges using our methods.
Sponsorship	Int. Assoc. Pattern Recognition (IAPR)
Starting Page	56
Ending Page	62
File Size	716414
Page Count	7
File Format	PDF
ISBN	076951183X
DOI	10.1109/ICIAP.2001.956985
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-09-26
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Merging Image segmentation Image edge detection Shape measurement Layout Crops Pixel Lighting Image recognition Image color analysis
Content Type	Text
Resource Type	Article

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