5599392
doi
10.35940/ijeat.B3036.129219
oai:zenodo.org:5599392
Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)
Publisher
Pisupati Chaitanya
(B Tech) UG Scholar, Batch (2016- 2020), NIIT University,
VikasUpadhyaya
(B Tech) UG Scholar, Batch (2016- 2020), NIIT University,
Application of Image Processing In E-Commerce
LokeshVenkata Sai Mamidi
(B Tech) UG Scholar, Batch (2016- 2020), NIIT University,
issn:2249-8958
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Image processing, application of data analysis, Otsu segmentation, measurement of a body part, Regression.
<p>The advancement and perpetual development in technology have made it possible to automate many processes. The proposed Algorithm in this research provides the framework to self-operate the process of quantifying the shoulder size of humans by taking the images of the user so that it can be utilized to find the shirt size of the human. The framework involves three important phases which are segmentation, edge detection, predicting shirt size. Since colour has no prominent role in measurement of size,otsu’s binary thresholding for image segmentation is used in order to get binary image which separates foreground and background. Along with predictive analysis particularly regression is used as the groundwork to predict shirt size. The main application is in the apparel industry such as online shopping to automate the size detection for more expeditious results. And in the custom made apparel stitching, rather than approaching the sea mster to take tape measurements our framework can be implemented therefore increasing the time efficiency.</p>
Zenodo
2019-12-30
info:eu-repo/semantics/article
5599391
1635256127.458872
656073
md5:de8553d5b994c49218d306c7dd2d53a2
https://zenodo.org/records/5599392/files/B3036129219.pdf
public
2249-8958
Is cited by
issn
International Journal of Engineering and Advanced Technology (IJEAT)
9
2
355-359
2019-12-30