The edge points with single pixel width have been obtained by using of the algorithms of edge detector, edge thinning and contour following from consecutive images, and the edges obtained are represented as conics. The computation of the optical flows of conics has been accomplished.
After being processed the two images taken at different angle of view are two pieces of the laser stripe of a single pixel width. A matching method for solving the intersection of a carve and a straight line is proposed based on epipolar and continuity constraint, thus the fast precise matching of laser stripes and the 3D reconstruction of the laser scanning line is realized.
Efficient algorithm is key to computer graphics in OAS,and Zhang's fast parallel thinning algorithm is recognized as an easy and efficient algorithm. To the thinned curves,it can ensure graph connection,but cannot ensure the singular pixel width,which brings difficulty for determining fork points on the thinned images.
The experimental results demonstrate that the thinned curve is almost located in the middle of the original curve connectively with single pixel width and the processing speed is high.
In addition, a new boundary extraction algorithm, based on a heuristic search on the neighbourhood pixels, is employed to obtain a connected single pixel width outer boundary using two preferential sequence windows.
Extracted edges in the split images are skeletonized to a single pixel width for further processing.
The algorithm first thins the components to single pixel width.
Experiments showed that the proposed algorithm could generate a path one pixel wide with continuous edges, and the proposed algorithm had a better edge-detection accuracy than the 4-connected, 8-connected, and the Sobel techniques.
However, in case of an even number of voxels, a centerline one pixel wide cannot be exactly centered within the object.
It shows the standard deviation value computed at each time on a one pixel wide ring belonging to the myocardium.
In order to improve the accuracy, one pixel wide buffer zone was generated around the building polygons and the damage assessments were re-performed.
Note the input centroid scales are one pixel wide while the output centroid determinations are different for the two plots.