An improved method of watershed transform on image of cashmere and wool fibre

Through the experiment, if using the traditional watershed algorithm of cashmere image edge extraction, the results will appear serious `over-segmentation´ phenomenon. This paper adopts multi-resolution analysis theory, using wavelet transformation theory establishment multi-resolution analysis framework on image segmentation. Multi-wavelet transform has some unique advantages and good performance on edge detection and texture analysis. This research uses multi-wavelet transform to improve the over-segmentation watershed transformation, to get meaningful image segmentation result. It facilitates the preparation for the extraction of characteristic such as cashmere image diameter, flake highly, and etc.