Region Growing Using Online Learning
نویسندگان
چکیده
In this paper we present a region growing approach for color images using an online learning algorithm that aims for content-based image retrieval systems. Our learning algorithm follows a variation of Bayesian estimation procedure to characterize each region as it is grown. The resulting image growing procedure is simple to implement, robust to initial parameters and has a linear complexity. Results on several images are presented to show the feasibility of the proposed method to be used in the contentbased image retrieval systems.
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