NDLI: A Curve Fitting Based Image Segmentation Method

Content Provider	IEEE Xplore Digital Library
Author	Wei Shen Lifang Wu Ling Tu
Copyright Year	2009
Abstract	In this paper a method is proposed to segment the board in Snooker games automatically. The algorithm involves the following steps: first, separable second derivative of Guassian steerable filters, which are linear combination of basis filters and can implement filtering with variant direction, are used to extract the edges in both horizontal and vertical directions. The input image f(x,y) is convolved with every base filter, then weighted the summation of outputs of all the base filter, the resulted image g(x,y) can be obtained. Second, the candidate board regions are extracted by color segmentation. After image dilation, which can make the points which are around the background merge to the objects, it is helpful that extracting the edge pixels exactly. And next, the candidate edge pixels are extracted by both the peak value of edge pixel and the candidate board region. Finally, the true edge pixels can be obtained by curve fitting, and the board is segmented by the results of curve fitting.
Starting Page	71
Ending Page	75
File Size	453922
Page Count	5
File Format	PDF
ISBN	9780769536538
DOI	10.1109/IACSIT-SC.2009.86
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-17
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision color segmentation Guassian steerable filters Filtering Nonlinear filters the candidate board regions Computer science Image segmentation Control engineering Games curve fitting Curve fitting Springs Pixel basis filters
Content Type	Text
Resource Type	Article

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