Shape Analysis and Recognition Based on Oversegmentation Technique
Shikha Garg1, Gianetan Singh Sekhon2
1Shikha Garg, Department of Computer Engineering, YCOE, Punjabi University, Patiala (Pnajab), India.
2Gianetan Singh Sekhon, Department of Computer Engineering, YCOE, Punjabi University, Patiala (Pnajab), India.
Manuscript received on 18 August 2012 | Revised Manuscript received on 25 August 2012 | Manuscript published on 30 August 2012 | PP: 111-116 | Volume-1 Issue-3, August 2012 | Retrieval Number: C0282071312/2012©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Shape recognition plays an important role in machine vision applications. This paper represents a modified shape recognition algorithm to predict the shapes of different objects using oversegmentation technique. This algorithm predicts the different shapes of objects based on two parameters corners, and the dimensions (length, breadth) of a particular object in a prediction table. Obviously, the boundary of shape is an important property in shape representation and description. In proposed method, the boundaries of various objects are extracted using some morphological operations. Then the feature extraction process is then applied on the detected shapes. Finally for shape recognition we will match the features of the current object with the preloaded features in the database or we can say training set for recognition. Also profiling of the algorithm is done to measure the execution time. With the help of the mathematical relation it can predict the accuracy of algorithm execution.
Keywords: Geometrical Shapes, Morphological Operations, Over Segmentation, Shape Recognition.
Scope of the Article: Predictive Analysis