  This paper describes a novel method for partitioning image into meaningful
segments. The proposed method employs watershed transform, a well-known image
segmentation technique. Along with that, it uses various auxiliary schemes such
as Binary Gradient Masking, dilation which segment the image in proper way. The
algorithm proposed in this paper considers all these methods in effective way
and takes little time. It is organized in such a manner so that it operates on
input image adaptively. Its robustness and efficiency makes it more convenient
and suitable for all types of images.
