摘要
为了有效地从羽毛图像中提取毛杆,在对比各种分割方法的基础上,提出基于小波纹理分割方法.考虑羽毛的特点,为去噪和加深纹理特征,对图像进行恢复和增强.经过二层小波分解后提取各细节子图的特征,形成特征向量,并由聚类法进行分类分割.实验结果表明,该方法能较好地提取毛杆.
To extract effectively the stick in feathers,it proposes a new method of image segmentation,based on the wavelet decomposition,by analyzing the textural features of image and comparing some methods of texture segmentation.The characteristics of feathers were considered,and the image was restored and enhanced to deepen the texture features.The features of vectors were obtained by the wavelet coefficient after wavelet transformation.Then,clustering was used to segment the texture image directly.The experimental results verify the effectiveness of the method.
出处
《广东工业大学学报》
CAS
2010年第4期42-45,57,共5页
Journal of Guangdong University of Technology
关键词
纹理分割
图像恢复
频域增强
二维小波分解
texture segmentation
image restoration
enhanced frequency domain
wavelet transformation
