Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
The structure of the “THE”-multiprogramming system
Communications of the ACM
Problem-Solving Methods in Artificial Intelligence
Problem-Solving Methods in Artificial Intelligence
Planning in a hierarchy of abstraction spaces
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
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We have constructed a computer algorithm that finds the contours of the dorsal and ventral portions of the images of ribs in chest radiographs. The following are a few of the expected uses for the automatic detection of rib contours: 1. Rib images contribute false positives in tumor-detection algorithms. Hence detecting the rib contours should facilitate removal of these lalse posltives. 2. The ribs provide a frame of reference for the description and location of lesions within the thoracic cavity. 3. The envelope of the ribs provides a more accurate basis for computing the boundary of the chest cavity (referred to as the "lung boundary" In other papers) than other known techniques. Our algorithm consists of a) high-pass filtering of the digitized picture, b) local "edge" detection by a combination of thresholding, Laplacian, and gradient operators, c) selection of edge elements in accordance with their angular orientation, d) matching straight line segments and conic sections to the selected edge elements, e) constructing strips centered on the straight line segments and conic sections, and f) heuristic search within these strips.