The invention discloses a semi-automatic image
cutting method based on
nuclear transfer, which mainly solves the problems that the existing interactive image
cutting method can not keep
data consistency, the
cutting result is not stable, and edges are not clear. The method is realized through the following steps: inputting an image to be
cut, obtaining a superpixel set of the input image through a
mean shift method, calculating a superpixel color column diagram
feature set, building a
similarity matrix W through a Bhattacharyya coefficient formula, performing interactive operation on the precut image by a user to obtain a seed superpixel set, building a must-link constrain set M and a cannot-link constrain set C, transferring constrain information M and C to the whole nuclear space through a
nuclear transfer method, so as to obtain a
nuclear matrix R, clustering the
nuclear matrix R through a k mean clustering method, so as to obtain a clustering mark vector, and outputting and displaying a cutting result. The method has the advantages of good
data consistency, stable cutting result, simplicity of operation and clear edges, and can be applied to
image retrieval, the technology of converting 2D to 3D, target detection and tracking, and medical
image analysis.