Analysis of ramp discontinuity model for multiscale image segmentation

Himanshu Arora, Narendra Ahuja

Research output: Contribution to journalConference articlepeer-review


This paper presents an algorithm for multiscale image segmentation. Towards this, it proposes a new region model, that of a homogenous region surrounded by ramp discontinuities (a scenario usually encountered in real images). This paper presents the analysis of this model, leading to a robust algorithm for detection of ramp discontinuities in the image, and finally segmentation of the image at different photometric scales. The algorithm is further specialized for detecting very thin regions. The final segmentation algorithm can detect regions in the image, with varying photometric scales, sizes and arbitrary geometric properties. The properties of the algorithm are experimentally verified on synthetic and real images.

Original languageEnglish (US)
Article number1699792
Pages (from-to)99-103
Number of pages5
JournalProceedings - International Conference on Pattern Recognition
StatePublished - 2006
Event18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China
Duration: Aug 20 2006Aug 24 2006

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition


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