Abstract | ||
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In this paper we consider shape-based methods to generate additional slices in 3D binary volumes. The focused interpolation approaches, named SIMOL and BORS, are based on morphological and logical operators. Given two adjacent slices S-1 and S-2 of the binary image set, the methods iteratively generate a sequence of new slices showing a gradual transition between the corresponding shapes. First, we analyze the SIMOL and BORS techniques and highlight their problems. Then we present the main contribution of this paper: a new interpolation scheme, called SIMOL-NEW, that combines the iterative scheme of BORS and an interpolation kernel generated through SIMOL framework. Next, we compare SIMOL-NEW and BORS approaches using theoretical elements and computational experiments. The latter are executed using: (a) benchmark shapes; (b) simple volumes defined by sphere and paraboloid; (c) combination of ellipsoids; (d) a fork-like volume; (e) Cylinder Minus Sphere. The conclusion is that SIMOL-NEW performs closer to BORS for the cases (a) and (c) but it is more accurate than BORS in the tests (b) and (d). Besides, we offer comparisons of state-of-the-art approaches in shape-based interpolation and SIMOL-NEW using ground truth volumes (d) and (e). The computational experiment report that SIMOL-NEW gets outstanding results regarding the ability to recover the target volume. |
Year | DOI | Venue |
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2019 | 10.1142/S0219467819500074 | INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS |
Keywords | Field | DocType |
Binary image interpolation, morphological methods, shape-based interpolation | Pattern recognition,Interpolation,Artificial intelligence,Mathematics,Binary number | Journal |
Volume | Issue | ISSN |
19 | 2 | 0219-4678 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Walter Alexandre A. de Oliveira | 1 | 0 | 0.34 |
Denise Guliato | 2 | 103 | 11.64 |
Douglas Coelho Braga de Oliveira | 3 | 0 | 1.35 |
Rodrigo Luis de Souza da Silva | 4 | 0 | 1.35 |
Gilson A. Giraldi | 5 | 98 | 21.93 |