The authors present: (1) a multi-scale representation of gray-level shape, called a scale-space primal sketch, which makes explicit both features in scale-space and the relations between features at different levels of scales; (2) a theory for extraction of significant image structure from this representation; and (3) applications to edge detection, histogram analysis and junction classification demonstrating how the proposed method can be used for guiding later stage processing. The representation gives a qualitative description of the image structure that allows for detection of stable scales and regions of interest in a solely bottom-up data-driven way. In other words, it generates coarse segmentation cues and can be hence seen as preceding further processing, which can then be properly tuned. The authors argue that once such information is available many other processing tasks can become much simpler. Experiments on real imagery demonstrate that the proposed theory gives perceptually intuitive results.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Scale detection and region extraction from a scale-space primal sketch


    Contributors:


    Publication date :

    1990-01-01


    Size :

    1250568 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Adding scale to the primal sketch

    Saund, E. | IEEE | 1989



    Image hallucination with primal sketch priors

    Jian Sun, / Nan-Ning Zheng, / Hai Tao, et al. | IEEE | 2003


    Primal sketch: Integrating structure and texture

    Guo, C. e. / Zhu, S. C. / Wu, Y. N. | British Library Online Contents | 2007


    Image Hallucination with Primal Sketch Priors

    Sun, J. / Zheng, N.-N. / Tao, H. et al. | British Library Conference Proceedings | 2003