Abstract:
A kind of clustering algorithm for color image segmentation is proposed, choosing HSI representation as the color segmentation space, in the study of
H component, the circulation characteristics were full consideration, also the distance of two points and centers of
H component is defined. Choosing the most important component of
H and
I component as segmentation clustering features, using fuzzy membership function depicts the clustering features, at last
K-means clustering algorithm is used to segment color image. An experiments is given on bone regional segmentation, and achieve good segmentation results, experimental results shows that the results of the
H and
I components is superior to the results on a single component of HIS space.