Abstract
A contents based scoring model for clothes matching is represented. The major color sets for upper and lower clothes are extracted using color grouping and clustering after discarding background. The all possible combinations between two color sets are considered to measure the overall color harmony. The regions in which printed patterns on the clothes are detected and the pattern types are classified. The pattern matching score is also calculated using statistical characteristics of dispersity and directional uniformity of edge lines. The final score of clothes matching are obtained via linear weighted sum of the scores of color harmony and pattern matching. In the experimental, the scores generated by the proposed model are compared with the scores offered by human observers for real clothes images collected from internet shopping malls.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
