4 December 1984 Computing Curvature From Images
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The planar image of an object can be represented as a "codon" list of maxima, minima and zeros of the image's curvature. This representation is invariant over rotation, translation, scale, and other distortions of the image, making it a useful representation for visual recognition or inspection. Calculating this representation from a digital image is difficult because of the granularity of the image and the possibility of many scales for the object (e.g., a fractal). We present an algorithm for examining a digital image at various scales, computing curvature, and symbolically encoding this information. This algorithm is designed for a digital frame buffer and video arithmetic logic unit.
© (1984) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Benjamin M. Dawson, Benjamin M. Dawson, George Treese, George Treese, } "Computing Curvature From Images", Proc. SPIE 0504, Applications of Digital Image Processing VII, (4 December 1984); doi: 10.1117/12.944860; https://doi.org/10.1117/12.944860


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