New model of region extraction based on salient region detection and scale-space primal sketch

Jie Xiao; Mingyue Ding; Chao Cai; Chengping Zhou

doi:10.1117/12.748573

15 November 2007 New model of region extraction based on salient region detection and scale-space primal sketch

Jie Xiao, Mingyue Ding, Chao Cai, Chengping Zhou

Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67870M (2007) https://doi.org/10.1117/12.748573
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

This paper developed a new model of region extraction based on salient region detection and scale-space primal sketch. In the proposed model, we extract the region of interest (ROI) in two steps. Firstly, we estimate the extent of object by means of region detection, which considers the feature that contributes most to the saliency map. Secondly, we use the scale-space primal sketch to acquire an explicit representation of the significant image structure which gives a qualitative description of the scales and regions of interest. Finally, we combine the results from the two steps. Applications to extract ROI showed that this new model could lead to better results which can be used for guiding later stage processing.

Citation Download Citation

Jie Xiao, Mingyue Ding, Chao Cai, and Chengping Zhou "New model of region extraction based on salient region detection and scale-space primal sketch", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67870M (15 November 2007); https://doi.org/10.1117/12.748573

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