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This paper describes a new line segment detection and extraction algorithm for computer vision, image segmentation, and shape recognition applications. This is an important pre processing step in detecting, recognizing and classifying military hardware in images. This algorithm uses a compilation of different image processing steps such as normalization, Gaussian smooth, thresholding, and Laplace...
We are interested in circularity measures which are invariant to rotation, scaling, and translation, are calculated very quickly and are resistant to protrusions in the data set. We propose several measures here, all of which are based on existing linearity measures that have been adapted to measure circularity. In order to make use of these linearity measures, we transfer the Cartesian coordinates...
It is often useful to measure how linear a certain set of points is. Our goal is to design algorithms that give a linearity measurement in the interval [0, 1]. There is no explicit discussion on linearity in literature, although some existing shape measures may be adapted. We are interested in linearity measures which are invariant to rotation, scaling, and translation. These linearity measures should...
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