Classification of T-shirts based on Pattern
Dheeraj Kumar Boddu1, Sai Varun Buchipalli2, R. Aarthi3
1Dheeraj Kumar Boddu, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore (Tamil Nadu), India.
2Sai Varun Buchipalli, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore (Tamil Nadu), India.
3R. Aarthi, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore (Tamil Nadu), India.
Manuscript received on 03 June 2019 | Revised Manuscript received on 28 June 2019 | Manuscript Published on 04 July 2019 | PP: 321-324 | Volume-8 Issue-1S4 June 2019 | Retrieval Number: A10560681S419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In online shopping the fabric is the one of the most demanded items. People tend to choose the item based on the categorization. As evident growth in day to day online market, the manual way of categorizing the object is a difficult task. Hence our idea is to classify the T-shirt based on the visual pattern present in it. People uses their visual cues to identifying the pattern in the t-shirt into categories like Striped, solid e.t.c. we have developed a methodology to extract the visual pattern for each categories and further used for automatic labeling .This study gives idea of classification of T-shirts based on pattern on it. For classification we use tree classification. We mainly classify into two types of T-shirts mainly Solid and Striped. For feature extraction of the solid and striped were done by combination of segmentation and statistical analysis on segments.
Keywords: Classification, Solid, Striped, Segmentation.
Scope of the Article: Classification