Improving the Performance of CBIR on Islamic Women Apparels Using Normalized PHOG
TLDR
A new normalization approach to the Pyramid Histogram of Oriented Gradients (PHOG) is presented as a mean for shape feature extraction of women Islamic clothing in a retrieval system and showed that NPHOG improved the HOG and PHOG performance in three clothing categories.Abstract:
The designs of Islamic women apparels is dynamically changing, which can be shown by emerging of online shops selling clothing with fast updates of newest models. Traditionally, buying the clothes online can be done by querying the keywords to the retrieval system. The approach has a drawback that the keywords cannot describe the clothes designs precisely. Therefore, a searching based on content–known as content-based image retrieval (CBIR ) –is required. One of the features used in CBIR is the shape. This article presents a new normalization approach to the Pyramid Histogram of Oriented Gradients (PHOG) as a mean for shape feature extraction of women Islamic clothing in a retrieval system. We refer to the proposed approach as normalized PHOG (NPHOG). The Euclidean distance measured the similarity of the clothing. The performance of the system was evaluated by using 340 clothing images, comprised of four clothing categories, 85 images for each category: blouse-pants, long dress, outerwear, and tunic. The recall and precision parameters measured the retrieval performance; the Histogram of Oriented Gradients (HOG) and PHOG were the methods for comparison. The experiments showed that NPHOG improved the HOG and PHOG performance in three clothing categories.read more
Citations
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Proceedings ArticleDOI
Skin segmentation based on improved thresholding method
TL;DR: An improved threshold-based segmentation technique is proposed by adding a new constraint to the previous method to limit the skin tone selection and improved the segmentation results by correctly segment the apparels with the shade of purple, pale pink, and pinkish-yellow.
Journal ArticleDOI
Application of content based image retrieval in digital image search system
TL;DR: This research was conducted on a combination of the HSV colorhistogram methods and the discrete wavelet transform to extract color features and textures features, while the chi-square distance technique was used to compare the test images with images into a database.
Proceedings ArticleDOI
HOG of Region of Interest for Improving Clothing Retrieval Performance
TL;DR: The proposed method aims at enhancing the performance of garment image retrieval, in which the garments have similar details at a particular position, with a new approach for ROI partition mechanism prior employing the HOG.
Proceedings ArticleDOI
Cross-domain Clothing Image Retrieval Based on Hybrid Shape Feature
TL;DR: This research combined the PHOG and Moore-Neighbour tracing (MNT) method for extracting a new feature of pyramid histogram of oriented gradient cross-feature (PHOGXF) and concluded that the proposed method has significant performance; more than twice as good as thePHOG method.
Journal Article
Skin segmentation based on improved thresholding method
TL;DR: An improved threshold-based segmentation technique is proposed by adding a new constraint to the previous method to limit the skin tone selection and increased the segmentation results by 27%.
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