Scale-space primal sketch: construction and experiments

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We present a multi-scale representation of grey-level shape, called the scale-space primal sketch, that makes explicit features in scale-space as well as the relations between features at different levels of scale. The representation gives a qualitative description of the image structure that allows for extraction of significant image structure — stable scales and regions of interest-in a solely bottom-up data-driven manner. Hence, it can be seen as preceding further processing, which can then be properly tuned. Experiments on real imagery demonstrate that the proposed theory gives intuitively reasonable results.

论文关键词:scale detection,segmentation,focus-of-attention

论文评审过程:Received 15 November 1990, Available online 14 August 2003.

论文官网地址:https://doi.org/10.1016/0262-8856(92)90079-I