The Application Research Of Immune Clonal Algorithm Oriented Colour Dynamic Matching

For the problems in the process of making personal photo products with traditional manual based operations, such as complicated procedures, time-consuming and high loaded process of the network or servers. A novel individual image processing oriented immune algorithm is proposed, which utilizes some characteristic information such as a grade-based mutation and content image. And the paper takes photo books which are more complex, typical personal photo products as example to discuss its personalized making.In this method, according to relationship of some factors which are involved in the process of making photo books, in particular, chromatics, color collocational theory, color psychological, etc, and suggestions offered by experts in related fields, we proposal 8 evaluation criterions to measure the quality of photo books. These include:(1) Degrees of fusion between photo book cover and background; (2) Degree of closeness between the practical cost and reserve price; (3) Degrees of Fusion between Every Background and Main Color; (4) Degrees of fusion between per page's background and photos; (5) Contrast between per page's background and photos; (6) Degrees of collocation between per page's background and photos; (7) Degrees of fusion between per page's font color and background; (8) Contrast between per page's font color and background.Secondly, we extract color feature as the main content of photos. And in quantized HSV color space, the concept of color interval, the model of image, and their methods of calculation are proposed. Then based on the calculation of image distance and color interval distance, the paper proposes methods of calculation for the above-mentioned 8 evaluation criterions to achieve their quantification.Finally, for the problem of making personal photo products, according to the various features of this issue, we propose a grade-based mutation clonal selection algorithm to optimize their making process, and achieve fast convergence of antibody population and the target selected.Theoretical analysis and simulation results show that the method is applied to the current working environment of the Internet and has good feasibility, practicality and effectiveness. Currently, the algorithm has been adopted and implemented in our photo production making website PanoPhoto, the system's operating conditions and customer feedback support the simulation results of algorithm.