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Multi-View Clothing Image Segmentation Using the Iterative Triclass Thresholding Technique

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Abstract

Clothing genres analysis, is a notorious topic in the field of computer vision and in multimedia. The major challenges faced in the segmentation of clothing images includes, numerous clothing variations, clothing deformation, view-invariant problems, skin ambiguities, and colour consistency degradation. To accomplish, the view-invariant problem, new Iterative Triclass Thresholding technique is implemented, which segments the cloths from human images. The thresholding segmentation algorithm has been designed, extensively for medical and natural images, not for segmenting the clothing images. In this research the potential of thresholding segmentation is analyzed in clothing and accomplishment of this framework is estimated by some samples of men’s wear. From the Multi-View Clothing (MVC) dataset, 200 shirts with multi view face images have been selected. A test, on this dataset implies that, Iterative method can outperform the standard Otsu method. The experimental verification of this technique has been carried out, using MATLAB stimulation, which proved that the new Iterative Triclass Thresholding technique leads to effective results in the process of segmenting the clothing image while incurring low computational cost.

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Data availability

The datasets procured for this study, are accessible in the [Multi-View Clothing (MVC)] repository [https://doi.org/10.1145/2911996.2912058]. These datasets were derived from the following public domain resources: [https://mvc-datasets.github.io/MVC].

Code availability

The code for this work is confidential.

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Funding

Anna University, Chennai, extended immense support in accomplishment of this article, and offering Anna Centenary Research Fellowship (ACRF) CFR/ACRF-2018/AR1/16.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, College of Engineering, Anna University, Guindy, Chennai, India

    M. S. Saranya & P. Geetha

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  1. M. S. Saranya
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  2. P. Geetha
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Correspondence to M. S. Saranya.

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Saranya, M.S., Geetha, P. Multi-View Clothing Image Segmentation Using the Iterative Triclass Thresholding Technique. Wireless Pers Commun 127, 2743–2759 (2022). https://doi.org/10.1007/s11277-022-09893-7

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