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ICIAP
2003
ACM

Object segmentation using feature based conditional morphology

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Object segmentation using feature based conditional morphology
This paper presents a new technique to segment objects of interest from cluttered background with varying edge densities and illumination conditions from gray scale imagery. An optimal background model is generated and an index of disparity of the objects from this model is computed. This index estimates the disparity, both in terms of edge densities and edge orientation. We introduce Feature Based Conditional Morphology to process the representations that are most likely to belong to the object of interest and obtain a distilled edge map. These edges are linked using Nth order interpolation to get the final outline of the object. We compare our approach with 9 contemporary background subtraction algorithms as given in [8]. Our approach shows significant performance advantages and uses only the gray scale images, while the other approaches also need the color images for their algorithms. A comparison with the conventional morphological techniques is also made to highlight the advantag...
M. Raffay Hamid, Aijaz Baloch, Ahmed Bilal, Nauman
Added 08 Dec 2009
Updated 08 Dec 2009
Type Conference
Year 2003
Where ICIAP
Authors M. Raffay Hamid, Aijaz Baloch, Ahmed Bilal, Nauman Zaffar
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