摘要
基于色彩特征,提出一种基于混合高斯模型的服装图像分割方法,建立混合高斯逼近的图像色彩特征统计模型,把图像从RGB色彩空间变换到HSI色彩空间,并在H分量上进行分割。对比实验表明,该方案对服装图像目标划分清晰,细节保持较好,改善了图像的分割性能。
A method of clothing image segmentation based on color features and Gauss mixture model were proposed. The mixed Gauss approximation of the image color feature statistical model was established and the image was converted from RGB color space to HSI color space. The experimental results showed that the validation of the OTSU solutions were greatly improved by the method.
出处
《纺织科技进展》
CAS
2013年第1期35-37,80,共4页
Progress in Textile Science & Technology
基金
浙江省教育厅科研项目(Y201119385)
