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Region representation: boundary codes from quadtrees
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Communications of the ACM archive
Volume 23 ,  Issue 3  (March 1980) table of contents
Pages: 171 - 179  
Year of Publication: 1980
ISSN:0001-0782
Authors
Charles R. Dyer  Univ. of Maryland, College Park
Azriel Rosenfeld  Univ. of Maryland, College Park
Hanan Samet  Univ. of Maryland, College Park
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 5,   Downloads (12 Months): 61,   Citation Count: 17
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ABSTRACT

There has been recent interest in the use of quadtrees to represent regions in an image. It thus becomes desirable to develop efficient methods of conversion between quadtrees and other types of region representations. This paper presents an algorithm for converting from quadtrees to a simple class of boundary codes. The algorithm is shown to have an execution time proportional to the perimeter of the region.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Alexandridis, N., and Klinger, A. Picture decomposition, tree data-structures, and identifying directional symmetries as node combinations. Comptr. Graphics and Image Processing 8 (1978), 43- 77.
 
2
Blum, H. A transformation for extracting new descriptors of shape. In Models for the Perception of Speech and Visual Form, W. Wathen-Dunn, Ed., M.I.T. Press, Cambridge, Mass., 1967, pp. 362- 380.
 
3
Finkel, R.A., and Bentley, J.L. Quadtrees: A data structure for retrieval on composite keys. Acta Informatica 4 (1974), 1-9.
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Hunter, G.M., and Steiglitz, K. Operations on images using quadtrees. 1EEE Trans. on Pattern Analysis and Machine Intell. 1 (1979), 145-153.
 
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Hunter, G.M., and Steiglitz, K. Linear transformation of pictures represented by quadtrees. Comptr. Graphics and Image Processing 10 (1979), 289-296.
 
9
Klinger, A., and Dyer, C.R. Experiments in picture representation using regular decomposition. Comptr. Graphics and Image Processing 5 (1976), 68-105.
 
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Klinger, A., and Rhodes, M.L. Organization and access of image data by areas. IEEE Trans. on Pattern Analysis and Machine lntell. 1 (1979), 50-60.
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Riseman, E.M., and Arbib, M.A. Computational techniques in the visual segmentation of static scenes. Comptr. Graphics and Image Processing 6 (1977), 221-276.
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Rutovitz, D. Data structures for operations on digital images. In Pictorial Pattern Recognition, G.C. Cheng et al., Eds., Thompson Book Co., Washington, D.C., 1968, pp. 105-133.
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Samet, H. Computing perimeters of images represented by quadtrees. Comptr. Sci. TR-755, Univ. of Maryland, College Park, Md., April 1979.
 
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Samet, H. Connected component labeling using quadtrees. Comptr. Sci. TR-756, Univ. of Maryland, College Park, Md., April 1979.
 
19
Tanimoto, S.L. Pictorial feature distortion in a pyramid. Comptr. Graphics and Image Processing 5 (1976), 333-352.
 
20
Tanimoto, S.L., and Pavlidis, T. A hierarchical data structure for picture processing. Comptr. Graphics and Image Processing 4 (1975), 104-119.

CITED BY  17

Collaborative Colleagues:
Charles R. Dyer: colleagues
Azriel Rosenfeld: colleagues
Hanan Samet: colleagues