A Target Edge Segmentation Algorithm Based on Morphological Gradient Vector and Adaptive Fuzziness

This paper provides a edge segmentation arithmetic based on gradient vector.At first,it has a arithmetic having(orientation) estimate morphological gradient edge detection operators.There are four element structures with different direction.In these operators,the blurring processing is added,it makes that the operators not only depress the noise in image,but also enhance edge's definition.Second,in the segmentation,it includes a new adaptive threshold based on fuzziness which makes edge more intact and clearer.