摘要： 针对互联网个人影像产品制作过程中传统人工操作的复杂、耗时，并易造成网络与服务器高负荷运转等问题，提出一种基于等级变异与图像内容等特征信息的克隆免疫算法。通过建立影像产品的评价标准，确定基于HSV空间的图像距离与颜色区间距离，利用一种专门针对影像处理的等级变异克隆选择算法来优化其制作过程，实现影像产品抗体群的快速收敛与目标选定。理论分析与仿真结果表明，该方法应用于目前互联网的工作环境，具有良好的可行性、实用性和有效性。

关键词: 等级变异, 影像处理, 特征识别, 克隆选择, 颜色区间距离

Abstract: 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, this paper proposes an individual image processing oriented immune algorithm, which utilizes some characteristic information such as a grade-based mutation and content image. This method establishes a series of evaluation criteria of photo productions, then confirms computations of distances between images and color intervals, continually, finds out the solutions of photo productions with the grade-based mutation, and realizes the rapid convergence and antibody targets selection. Theoretical analysis and simulations show that good feasibility and practicality of this algorithm can be obtained.

Key words: grade-based mutation, image processing, feature recognition, clonal selection, color zone distance

中图分类号: 

• TP301.6