Artistic style generation by Image Analogy using Ant Algorithm based on the comprehensive area feathers

摘要：

this paper presents a robust scheme for texture synthesis in the process of artistic style learning based on the comprehensive area featbers of the segmented image blobs, which speeds up the process by exploiting the ant colony algorithm for the texture blobs matching firstly. The scheme also ensures the artistic style transition by the parameter setting of different sample images weights and shortens the time cost in the style generation process, which can transit the styles of several images to the targets. The preliminary experiments illustrate the schemes good performance. Above all, the random algorithms just like the ant colony searching algorithm can enhance the comprehensive performance of the artistic style generation system.

关键词： Image analogy Texture synthesis Artistic style generation Ant colony alogrithm for search

作者: Yixin Fang Shao Qian

作者单位: Suzhou Institute of Industrial Technology,Information Department Suzhou China The College of traffic management cadres,Department of Computer Science Institute Beijing China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 1755-1758

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）