Clothing Fabric Automatic Recognition

Zhao, Zhihong; Zhou, Yuying

doi:10.1109/ihmsc.2018.00014

Cited by 3 publications

(3 citation statements)

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“…The creation of a program that uses deep learning techniques to automate saree segmentation and enable independent color change of various components is the primary lesson to be learned from this work done in [7]. The technology achieves great accuracy in detecting body areas and saree borders by merging custom-trained Mask R-CNN models for precise segmentation and incorporating MODNet for background removal Digital image processing for automatically identifying and recognizing various clothing textiles in [4]. In order to identify various fabric kinds based on factors like length, width, height, area, and perimeter ratios, it covers the extraction of fabric characteristics from 2D photos, building a feature extraction system, and evaluating fabric folds.…”

Section: Literature Reviewmentioning

confidence: 99%

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Vastradarpana A Novel Method to Detect Saree Using Image Processing Techniques

2024

IJSREM

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Identifying authenticated sarees through human vision and feel is a challenging aspect. Secondly Saree industry is multibillion businesses in Indian Industry. Each silk saree cost range from Rs 10000 to Rs 500000. Every consumer tries to identify authenticated saree before purchasing. With today’s technology changes we have prepared novel approach to detect the authentication of the saree. This work offers a method for classifying and detecting saree types using computer vision techniques. The visual features of sarees are classified by machine learning and image processing; preprocessing improves the classification model. With the use of region based CNNs (RCNN) extract texture features that are essential for differentiating Kanchivaram Silk Sarees. The model ensures stability across datasets and training conditions, as demonstrated by experimental findings that show its improved accuracy and speed over traditional deep learning techniques. This research increases computer vision in apparel recognition and categorization with applications in e-commerce and fashion recommendation. Keywords-Sarees, Kanchivaram, Rcnn, Tensorflow

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Section: Literature Reviewmentioning

confidence: 99%

“…Research employed in [8] a supervised LVQ neural network to train woven fabrics, and then it can effectively realize the identification and classification of these three fundamental woven fabric structures. The textural qualities of fabric can be adequately reflected by the four distinct elements of the gray-level cooccurrence matrix.…”

Section: Literature Reviewmentioning

confidence: 99%

Vastradarpana A Novel Method to Detect Saree Using Image Processing Techniques

2024

IJSREM

View full text Add to dashboard Cite

show abstract

“…5 In addition, there is a report on discrimination of clothing materials using fabric fold features. 6 However, this approach is problematic in that folds depend on how the fabric is set. In addition, there are studies that use movements of fabric under wind to estimate stiffness and other material properties, 7,8 or to classify materials.…”

Section: Introductionmentioning

confidence: 99%