Segmentation becomes a difficult task if the objects are not homogeneous and have overlapping characteristics. The Graph Cuts methods combined with Gaussian Mixture Model (GMM) for initialization label has been adopted to detect cattle object in an image with complex background. The RGB colors and Gray Level Co-occurrence Matrix (GLCM) textures are used as the features set. This method can robustly segment the cattle beef image from its background. This segmentation method produces the average of accuracy value up to 90%.
|Number of pages||5|
|Publication status||Published - 1 Jan 2013|
|Event||2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013 - Bali, Indonesia|
Duration: 28 Sep 2013 → 29 Sep 2013
|Conference||2013 5th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2013|
|Period||28/09/13 → 29/09/13|