Research on initial contour selection of snake model based on watershed algorithm;

Segmentation for images of VCH-F1 based on improved watershed algorithm;

Improved research for overlapping segmentation based on watershed algorithm;

Controllable watershed segmentation based on morphological multi-scale gradient;

Combined unsupervised image segmentation using watershed and hierarchical clustering with MRF;

In the algorithm watershed transformation is firstly used to extract Feature Points of Vein Pattern(FPVP) from the image of palm-dorsa vein pattern.

Adaptive histogram balancing is used to enhance the contrast of the background and the vein texture image,and watershed transform is adopted to produce the single pixel image of vein texture and texture comparability theory is used to carry out image matching and identification.

The new watershed-based method which improves on the original watershed transform to some extent,can overcome the shortcoming of some conventional methods that they cannot mark the grain exactly and give a exact boundary or mark to every grain in the image.

After analyzing the features of renal tubule pathologic images,we propose an algorithm bases on watershed transform.

There is over-segmentation phenomenon based on watershed segmentation algorithm,so this paper presents a new segmentation algorithm,which is followed with floating-point moving image based on morphological grad image,then watershed transformation is done,edge orientation will be more precise.

Due to image noise and the characteristics of images containing touching objects,traditional marker-driven watershed algorithm can not get good segmentation results,especially when the background is not connected.