Ribbon-like skeletonization based on contour reconstrction on intersection regions

Liao, Melody Z. W.; Huang, Xiu-Qin; Hu, Shigang; Chen, W F

doi:10.1109/icsmc.2009.5346052

Cited by 1 publication

(1 citation statement)

References 11 publications

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“…To build LOD in garment skeleton, getting a skeleton is also prerequisite. So far there exist various approaches in the extraction of skeletons of objects (Liao et al, 2009;Au et al, 2008;Polthier et al, 2006;Wang and Lee, 2008). Three mainstream methods are popular -topological thinning (Lam et al, 1992;Wang and Zhang, 1996), distance transform (Niblack et al, 1992;Maurer et al, 2003) and analytical computation (Rocha, 2003;Tang and You, 2003;Zou et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Construction of level of details in garment image skeleton

Wang

Zeng

et al. 2016

International Journal of Clothing Science and Technology

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If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -Skeleton plays an important role in representing the essential feature of garment in image. General skeleton extraction methods often yield many short skeletal branches. Though short branches reflect the geometric details of the garment, they are obstacles in extracting the essential features. The purpose of this paper is to provide an approach to hierarchically remove them to reveal the level of details (LOD) of the skeleton, thus both the essential skeleton and the geometric skeletal branches can be definitely extracted and separated. Design/methodology/approach -First, the initial garment image skeleton is extracted and smoothed. Then, the hierarchically removing mechanism is established on scoring the importance of each skeletal branch by an altered PageRank method and computing the symmetry among skeletal branches. Findings -Experimental examples show that this method can extract and separate garment essential skeleton as well as geometric skeletal branches hierarchically. Garments in same class have a similar essential skeleton with detailed differences, so this approach can be potentially applied in garment recognition and style specification. Originality/value -Traditionally, there is almost no work attempts to build LOD in skeleton of planar shapes. This paper provide an automatic device for building LOD skeleton for garment image. In another word, hierarchic skeletons with details in different prominence level are gradually established. And pairs of symmetric skeletal parts are found by taking advantage of symmetry characteristic of garment. This method is efficient in garment image skeleton extraction.

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