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| 2. |
- Sladoje, Natasa, et al.
(författare)
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Defuzzification of discrete objects by optimizing area and perimeter similarity
- 2004
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Ingår i: Proceedings of International Conference on Pattern Recognition (ICPR 2004). ; , s. 526-629
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Konferensbidrag (refereegranskat)abstract
- We present a defuzzification method which produces a crisp digital object starting from a fuzzy digital one, while keeping selected properties of them as similar as possible. Our main focus is on defuzzification based on the invariance of perimeter and area measures while taking into account with the membership values. We perform a similarity optimization procedure using on a region growing approach to obtain a crisp object with the desired properties.
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| 3. |
- Sladoje, Natasa, et al.
(författare)
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Measuring perimeter and area in low resolution images using a fuzzy approach
- 2003
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Ingår i: Proceedings of 13th Scandinavian Conference on Image Analysis (SCIA 2003). - 9783540406013 ; , s. 853-860
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Konferensbidrag (refereegranskat)abstract
- 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 t
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| 4. |
- Sladoje, Natasa, et al.
(författare)
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Perimeter and Area Estimations of Digitized Objects with Fuzzy Borders
- 2003
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Ingår i: Proceedings of 11th International Conference on Discrete Geometry for Computer Imagery (DGCI 2003). - Berlin, Heidelberg : Springer. - 9783540399667 ; , s. 368-377
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Konferensbidrag (refereegranskat)abstract
- Fuzzy segmentation methods have been developed in order to reduce the negative effects of the unavoidable loss of data in the digitization process. These methods require the development of new image analysis methods, handling grey-level images. This paper
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| 8. |
- Zunic, Jovisa, et al.
(författare)
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Efficiency of Characterizing Ellipses and Ellipsoids by Discrete Moments
- 2000
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Ingår i: IEEE Transactions on Pattern Analysis and Machine Intelligence. - : Institute of Electrical and Electronics Engineers (IEEE). - 0162-8828 .- 1939-3539. ; 22:4, s. 407-414
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Tidskriftsartikel (refereegranskat)abstract
- In this paper, our studies are focused on ellipses and problems related to their representation and reconstruction from the data resulting from their digitization. The main result of the paper is that a finite number of discrete moments, corresponded to digital ellipses, is in one-to-one correspondence with digital ellipses, which enables coding of digital ellipses with an asymptotically optimal amount of memory. In addition, the problem of reconstruction, based on the same parameters, is considered. Since the digitization of real shapes causes an inherent loss of information about the original objects, the precision of the original shape estimation from the corresponding digital data is limited. We derive a sharp upper bound for the errors in reconstruction of the center position and half-axes of the ellipse, in function of the applied picture resolution (i.e., the number of pixels per unit). An extension of these results to the 3D case is also given
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