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《Journal of Zhejiang University(Engineering Science)》 2014-06
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Segmentation algorithm of recessed image based on vector field of suction

KONG Yong-qi;PAN Zhi-geng;School of Information Technology,Zhejiang Vocational College of Commerce;Digital Media and ,HCI Research Center,Hangzhou Normal University;  
An image segmentation algorithm based on the vector field of suction was presented to solve the bottleneck problem for segmenting recessed images.This method segments the recessed image and saves the image original segmentation curves and the image gradient matrix.It identifies and marks the bottlenecks on the control nodes of the segmentation curve,while the identification process is based on the distribution of gradient vector.Meanwhile,apredefined vector field of suction is introduced and the midpoint of the straight segment on the arc is selected as the coordinates of the center chord on the vector field.By referring the mark matrix on the gradient,the algorithm performs dot product on the gradient vectors in the vector field of suction,and the dot product of the vectors is specified as the drive force for splitting the curve.Thus this method can achieve segmentation curve convergence inside the boundary concavities.Experimental results show that,for varying degrees of boundary concavities.The proposed algorithm can always limit the image segmentation average error and coverage ratio within a valid range.Results of comparative experiments show that the curve obtained by the proposed algorithm is closest to the edge of the image among those obtained by the similar segmentation algorithms.
【Fund】: 国家自然科学基金资助项目(61170318)
【CateGory Index】: TP391.41
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