edges from edge image using their primitive shapes. The edges are labeled, and the
principal component analysis (PCA) is performed for each labeled edges. With the principal
components, the algorithm detects straight lines and their orientations, which is useful for
various intensive applications. Our algorithm overcomes the disadvantages of Hough
transform (HT) and other algorithms, ie unknown grouping of collinear lines, complexity and …