What is it about?
Active contour based image segmentation required Gaussian smoothing operation to remove noise. And Gaussian smoothing operation requires optimum selection of variance sigma. This paper proposes variation in sigma while deformation of contour and provides better segmentation accuracy.
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Why is it important?
Changes in variance of Gaussian function during the contour evaluation process finds best value of it without taking additional process.
Perspectives
This is my first publication during my PHD graduation.
Hiren Mewada
Read the Original
This page is a summary of: Variable Kernel Based Chan-Vese Model for Image Segmentation, January 2009, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/indcon.2009.5409429.
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