Production of fshion camouflage based on background color by using image processing and interactive genetic algorithm

Today Camouflage designs are the center of fabric and clothes designer’s attention. Manually camouflage cloth designing is so difficult, time-consuming and it needs great skills in this field, as well. Therefore computer methods can be a great help to facilitate the process of producing camouflage.in this regard, using interactive algorithms, image processing can present an efficient method to achieve this goal. For the first time, in study a solution were proposed which by K-Means clustering method and conversational genetic algorithm, has ability to generate camouflage designs and is capable of optimizing the image according to user’s opinion. Utilizing KMeans clustering method, input images are given color reduction to 10 colors. The reduced colors of background with colors of design, corresponding to their redundancy. Camouflage design are generates by interactive genetic algorithm then their suitability is evaluated by user. Results of the evaluation of the program by 30 user’s represents that 80 present of them are satisfied with camouflage designs generated by suggested software.