Euclidean Shape Based Object Identification


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Abstract


The proposed work tries to identify the object.  Object identification is a challenge task. In order to overcome the identification challenges, the proposed method is introduced as a new approach to identify the human and trees of various sizes. In this system gets the RGB color image as input from user. First randomly fixate the seed point inside the image. By using region growing algorithm the region is grown based on the similar pixel value up to reach the boundary.  Based on radius, side and centre, the appropriate Euclidean shapes such as circle, rectangle, square and triangle are found. Finally these shapes are compared with knowledge based inference rule to identify the objects. Euclidean shape based object identification can be applied for various application areas such as object tracking and identification, object segmentation etc.


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Keywords


Euclidean Shapes; Rectangle growing algorithm; seed point based segmentation; knowledge based interference rule

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