Name
Abstract | ||
|---|---|---|
Shapes in images provide important features for pattern recognition, pattern matching, content-based image retrieval, etc. In this paper, a contour based structural approach is proposed to represent any arbitrary shape in an image by an alpha-numeric string. The proposed method performs decomposition of the region into disjoint sub-regions by detecting the features of the contour such as bend points, vertical & horizontal straight lines, etc. The representation of those sub-regions is achieved by using strings in a six letter alphabet. The representation is invariant to size since it includes a size-based ratio. The drawbacks of existing contour-based shape representation techniques are discussed, and it is shown how this new method overcomes them. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/1980022.1980137 | ICWET |
Keywords | Field | DocType |
horizontal straight line,alpha-numeric string,digital image,pattern recognition,disjoint sub-regions,new method,content-based image retrieval,contour-based shape representation technique,pattern matching,arbitrary shape | Computer vision,Disjoint sets,Pattern recognition,Computer science,Image retrieval,Digital image,Artificial intelligence,Invariant (mathematics),Pattern matching,Content-based image retrieval,Alphabet,Structural approach | Conference |
Citations | PageRank | References |
1 | 0.63 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| B. Rajesh Kanna | 1 | 28 | 3.63 |
| Chandrabose Aravindan | 2 | 137 | 23.13 |
| K. Kannan | 3 | 1 | 0.63 |