Depth of Field Image Segmentation Using Saliency Map and Energy Mapping Techniques |
Author(s): |
| D. Napoleon , School of Computer Science and Engineering, Bharathiar University, India, Coimbatore; R. Santhoshi, School of Computer Science and Engineering, Bharathiar University, India, Coimbatore; A.Shameena, School of Computer Science and Engineering, Bharathiar University, India, Coimbatore |
Keywords: |
| Low DOF image, iteration, segmentation, curve evaluation, object detection. |
Abstract |
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Image plays a vital role in image processing. In Image processing Depth of Field is to segment the relevant object from an Image. Depth of Field is the space between the near and extreme objects in a scene. The objective of this work is to segment the image using Low Depth of Field .Unsupervised segmentation is used to find low depth of field image. Saliency map and curve evaluation method is created and initialized for the image. Energy map have been employed so as to bring the desired result. Lipschitz function is used to generate the mathematical view of representation. Various Iteration methods have shown the graphical representation of an image. The Segmented results have shown the Object detection in an image. |
Other Details |
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Paper ID: IJSRDV1I6016 Published in: Volume : 1, Issue : 6 Publication Date: 01/09/2013 Page(s): 1335-1337 |
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