A New Approach for the Improving Result of Edge Detection

A novel morphological edge detection using adaptive weighted morphological operators is presented. The newly introduced operators employ a weighted structuring element and apply multiplication or division in place of addition and subtraction in classical morphological operations. It judges its edge and its direction by morphological operation. If the edge exists, a big weight factor is put; if the edge doesn´t exist, a small weight factor is put. Thus we can achieve an intensified edge detector. Experimental results prove that the new operators´ performance dominates those of classical operators for images in geometric feature detection, and obtain superb detail edges.