Image Segmentation Based on a Modified K-means Algorithm

An image segmentation method combined K-L transformation, two dimensional multi-wavelet and modified K-means algorithm was introduced. Two dimensional multi-wavelet and laws texture measurement were analyzed. A conclusion was got that every pixel had nine texture measure for describing image. A modified K-means algorithm applied the thought of K-means was proposed, and the target image was acquired. The experiment results proved that the FKM method was usefull because of its accuracy and computing velocity.