摘要:In this paper, we propose an intelligent system, called “Mobile Fashion Advisor”, aimed to create a virtual fashion assistant to give suggestions on the usage of clothing and help users avoid buying clothes that are never worn. Many different computer theories and techniques are exploited in the system. Digital image processing techniques, such as edge detection and color histogram, are employed to obtain the essential data of garments. Fuzzy theories are applied for gathering fashion matching rules. Users can simply use a smart phone to take a photo of the garment when shopping and submit it to the clothes server through ubiquitous network.Then Attire Scheme Harmony Evaluator follows match rules to search whether there are clothes in her personal garment database that matches the new one. The results of matching and grades of whether to buy are sent back and shown on the phone. The work is to provide such a user-centric services system that functions as a personal fashion advisor for clothes shopping.