A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrating Region Growing and Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
A fast algorithm for active contours and curvature estimation
CVGIP: Image Understanding
Computer and Robot Vision
Digital Picture Processing
Digital Straight Line Segments
IEEE Transactions on Computers
A segmentation algorithm for noisy images
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Localisation and tracking of an airport's approach lighting system
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
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This paper describes a novel method for image segmentation where image contains a dominant object. The method is applicable to a large class of images including noisy and poor quality images. It is fully automatic and has low computational cost. It may be noted that the proposed segmentation technique may not produce optimal result in some cases but it gives reasonably good result for almost all images of a large class. Hence, the method is found very useful for the applications where accuracy of the segmentation is not very critical, e.g., for global shape feature extraction, second generation coding etc.