Analysis of Centroid to Boundary Distance Method for Recognizing and Classifying Geometric Shapes |
Author(s): |
| Jangid Poonam Lekhramji , L.D. college of engineering; Prof. R. C. patel, L.D. college of engineering |
Keywords: |
| Geometric Shape Detection, Compactness Method |
Abstract |
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Geometric shapes and geometric features are indeed involved in a wide variety of digital images. Much of these features carry within itself useful information that can be exploited for a broad range of real-world applications. One method to detect basic geometric shape is based on extreme boundary points of shape itself. This method first find the centroid (xc, yc) and boundary points of the region. Distance between centroid and boundary points is stored in one one-dimensional array. Plot of this array is called Centroid to Boundary Distance (CBD) profile is unique to each shape. This uniqueness ease identification and classification of geometric shapes. Implementation of CBD method for detecting regular shape on raspberry platform is discussed here. Test results for different images of geometric shape are presented here. |
Other Details |
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Paper ID: IJSRDV4I60167 Published in: Volume : 4, Issue : 6 Publication Date: 01/09/2016 Page(s): 221-223 |
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