Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
On the perimeter and area of fuzzy sets
Fuzzy Sets and Systems
Length estimators for digitized contours
Computer Vision, Graphics, and Image Processing
Some properties of convex fuzzy sets
Fuzzy Sets and Systems
Computer Vision and Image Understanding
Measurements of digitized objects with fuzzy borders in 2D and 3D
Image and Vision Computing
A comparison of property estimators in stereology and digital geometry
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
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To overcome the problems of low quality of image segmentation, as well as significant loss of the data, it seems promising to retain the data inaccuracies as realistic as possible during the image analysis procedures, instead of making hard decisions in the segmentation phase. Such an approach initializes the interest for new image analysis methods, handling grey-level images. Our work on developing shape analysis methods for fuzzy segmented images has resulted in a theoretical foundation for estimators of quantitative properties of digitized objects with fuzzy borders. In this paper, we present results of perimeter, area, and compactness measure estimations obtained by applying a fuzzy approach to digitized objects in low resolution real images.