An new algorithm based on localized Multi-Channel active contour model is proposed for image segmentation.For the images with obvious texture

Gabor texture features are constituted multiple channels of active contour model together with image intensity information.Considering that intensity and texture characteristics are inconsistent in the interior and exterior of the evolution curve

localized energy idea is introduced

the minimum energy is calculated in the specific local area around each pixel on the evolution curve.Our model combined with the shape prior is used to segment the shadowed objects.The proposed algorithm is exemplified on various images objects and its superiority over state of the art variational segmentation techniques is demonstrated.