Tudor Barbu
Automatic MomentBased Texture Segmentation
1583 - 1588
2013
7
12
International Journal of Electronics and Communication Engineering
https://publications.waset.org/pdf/9996875
https://publications.waset.org/vol/84
World Academy of Science, Engineering and Technology
An automatic momentbased texture segmentation approach is proposed in this paper. First, we describe the related work in this computer vision domain. Our texture feature extraction, the first part of the texture recognition process, produces a set of momentbased feature vectors. For each image pixel, a texture feature vector is computed as a sequence of area moments. Then, an automatic pixel classification approach is proposed. The feature vectors are clustered using an unsupervised classification algorithm, the optimal number of clusters being determined using a measure based on validation indexes. From the resulted pixel classes one determines easily the desired texture regions of the image.
Open Science Index 84, 2013