Title :
Graph-Based image segmentation with bag-of-pixels
Author :
Zhi-Hua Chen ; Xiao-Long Xiao ; Yi Liu ; Jing Zhang ; Yu-Bo Yuan
Author_Institution :
Dept. of Comput. Sci. & Eng., East China Univ. of Sci. & Technol., Shanghai, China
Abstract :
Image segmentation can help us with a better understanding of the image content, and thus plays an important role in many fields of image processing including image retrieval, object recognition and image compression. We propose a novel method based on an efficient Graph-Based segmentation after analyzing its irrationalities. The proposed method with bag-of-pixels is simple and effective. In the evaluation using a large public image database that contains a lot of natural images, our method out-performs the efficient graph-based segmentation method, yields better segmentation results and shortens the running time.
Keywords :
graph theory; image retrieval; image segmentation; object recognition; visual databases; bag-of-pixels; graph based image segmentation; image compression; image content; image processing; image retrieval; object recognition; public image database; Abstracts; Image edge detection; Image segmentation; Streaming media; Bag-of Pixels; Graph-Based; Image Content; Image Segmentation;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
DOI :
10.1109/ICMLC.2013.6890849