TIN based image segmentation for man-made feature extraction

Wanshou Jiang; Junfeng Xie

doi:10.1117/12.655215

3 November 2005 TIN based image segmentation for man-made feature extraction

Wanshou Jiang, Junfeng Xie

Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 60441E (2005) https://doi.org/10.1117/12.655215
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China

Abstract

Traditionally, the splitting and merging algorithm of image segmentation is based on quad tree data structure, which is not convenient to express the topography of regions, the line segments and other information. A new framework is discussed in this paper. It is "TIN based image segmentation and grouping", in which edge information and region information are integrated directly. Firstly, the constrained triangle mesh is constructed with edge segments extracted by EDISON or other algorithm. And then, region growing based on triangles is processed to generate a coarse segmentation. At last, the regions are combined further with perceptual organization rule.

Citation Download Citation

Wanshou Jiang and Junfeng Xie "TIN based image segmentation for man-made feature extraction", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60441E (3 November 2005); https://doi.org/10.1117/12.655215

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