Patent ID: 7162089
Filing Date: 2007-01-09
Classification: G01N,G06K

Abstract:
1. An image segmentation recognition method in industrial radiational imaging, the method comprises the steps of: (1) Pre-processing an original image to reduce the influence of noises, denoting a gray level value of a pixel at (x,y) with G(x,y); (2) Log-transforming the image pre-processed to obtain a linear attenuation coefficient image, that is, A (x, y)=C In (G (x, y)/Io)+Ao, where Io=Ao is the maximum gray level value of the image, C is a constant used for adjusting the contrast; (3) Performing an edge detection on the linear attenuation coefficient image A (x, y) to obtain an edge value image E (x, y) and an edge direction image D (x, y); (4) Refining the edges by using the edge value image E (x, y) and edge direction image D (x, y), to create a new edge value image EN (x, y); (5) Performing an edge tracking operation by using the edge value image EN(x,y) and edge direction image D(x,y), calculating an average value for each edge segment obtained by the edge tracking operation, for each edge point on each edge segment, searching other edge points on other neighboring edge segments; if such an edge point is found, calculating a difference between the average edge values of the two edge segments; when the difference is located within a preset narrow range, determining logically the two edge segments to belong to a same edge; (6) For each edge point, on the edge segments logically determined to belong to a same edge searching for its adjacent points on the edge segments logically determined to belong to a same edge and if there is one or more gaps between the edge point and its adjacent points, filling the gaps to close the edge, thus forming a complete contour of an object; (7) Checking whether all points in the image belong to the object, and marking all points belonging to the object, filling the region; (8) Cutting off false filled-regions; and (9) Creating a region as an isolated object by combining a closed edge and filling points.