Color Cast Detection Method Based on Multi-feature Extraction

摘要：

　　In order to raise the accuracy rate of the color cast detection and to make the method universal, the paper carries out a color cast detection method based on multi-feature extraction. Firstly, calculate the four features that are the textural property of the luminance channel, color numbers, histogram of RGB color space and statistical characteristics of the Gabor filter, then use AdaBoost to train and classify. The experiment will be done using 11346 images in the Ciurea databasc. The result shows that this method has a low error rate an d good classification results, which is universal to natural images taken by cameras.

关键词： multi-feature extraction AdaBoost color cast detection

作者: Minjing MIAO Yuan YUAN Juhua LIU Hanfei YI

作者单位: School of Printing& Packaging, Wuhan University College of Physical Science & Technology, Huazhong Normal University 430079 Wuhan, China

会议类型: 国际会议

会议名称: 9th Conference on Image and Graphics Technologies and Applications(IGTA2014)(第九届图像图形技术与应用学术会议)

会议地点: 北京

会议语种:英文

页码: 107-113

在线出版日期: 2014-06-01（万方平台首次上网日期，不代表论文的发表时间）