8 March 1982 Comparative Study Of Edge-Thinning Algorithms For Target Identification
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The aim of the edge thinning process is to remove the inherent edge broadness in gradient images while retaining edge continuity of the image. Such a process is required so that a useful silhouette of the target can be generated for target classification purposes. This paper compares the results from three candidate edge thinning algorithms: nonmaximum sup-pression technique by D. Miligram and A. Rosenfeld, modified USC thinning algorithm, and Reeves' algorithm. The results are compared subjectively and in terms of the number of computations required for their implementation.*
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H. Kesh R. Keshavan, Chun Moo Lo, "Comparative Study Of Edge-Thinning Algorithms For Target Identification", Proc. SPIE 0302, Infrared Technology for Target Detection and Classification, (8 March 1982); doi: 10.1117/12.932627; https://doi.org/10.1117/12.932627

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