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    Örüntü ve renk tabanlı mobil kıyafet arama motoru
    (Selçuk Üniversitesi, 07.06.2018) Abusabra, Alaa Khaled; Babalık, Ahmet
    In the recent years, the use of Artificial Intelligence techniques in mobile applications has increased especially in the field of image processing and computer vision. Image processing algorithms in the e-shopping field through mobile applications have found a wide range of usage such as matching user's requirements with clothes that are available on the internet. In this study, the developed mobile application is trying to help e-shopping platform users and fashion designers to view cloth suggestions that are related to texture and color features. The developed mobile application in this study is using Hough Transform algorithm for texture classification and the Fuzzy Logic System for color classification. The developed mobile application presents two modules; company and user module. The company module performs color and pattern analysis of the uploaded actual cloth images and saves the extracted properties in database. The user module allows users to draw the desired patterns and selected colors then analyzed it to get all desired result from database. The database on server responds with search results containing the corresponding actual cloth images. All processes; drawing, analysis and submission of the actual images are performed using the developed mobile application. The developed mobile application is working on Android operating system and it can perform pattern analysis and detect several types of patterns namely; horizontal stripe, vertical stripe, plaid, pointed, solid pattern (or pattern-less) and other patterns are classified as "Other Patterns". In color classification, application can detect 9 primary colors with different levels; light, medium and dark besides of black, white and grey colors so as a total it can detect 30 different levels from main colors.