TV Corner Mark Recognition Algorithm Based on Feature Fusion

摘要：

　　This paper proposed a fusion of color features, shape features and SURF image recognition algorithm. Traditional SURF algorithm take greyscale image as input to extract local extreme value points as characteristics points, ignoring color and shape information. The paper introduced the global color histogram information to make up the lack of color information loss, at the same time introduced shape context descriptor to describe shape feature of the image. Then merge three feature descriptors to form joint feature descriptor, and gives different weights to different characteristics. The experimental results show that the algorithm has good recognition ability.

关键词： surf shape the context the color histogram weights image recognition

作者: Sun Yuzhe Lan shanzhen Li Shaobin

作者单位: The Institute of Digital Media The Communication University of China Beijing, China

会议类型: 国际会议

会议名称: 2015 Fifth International Conference on Instrumentation and Measurement,Computer,Communication and Control (IMCCC2015)(第五届仪器测量、计算机通信与控制国际会议)

会议地点: 秦皇岛

会议语种:英文

页码: 1940-1944

在线出版日期: 2015-09-18（万方平台首次上网日期，不代表论文的发表时间）