TY - GEN
T1 - Color image segmentation based on blocks clustering and region growing
AU - Sima, Haifeng
AU - Liu, Lixiong
AU - Guo, Ping
PY - 2011
Y1 - 2011
N2 - In order to overcome the discontinuity in clustering segmentation, a novel color image segmentation algorithm is proposed, which is based on seeds clustering and can locate the seeds of regions quickly. Firstly, the image is divided into a series of non-overlapping blocks with the size of n(n pixels in HSI color space. For each block, the centroid pixel of salient homogeneous region is selected as a feature point of the block. Secondly, based on the principles of color similarity centroids are clustered to obtain the clustered centroids as seeds for region growing. Finally, invalid and noisy regions are merged to get the complete segmentation results. Comparing with other segmentation algorithms, the experimental results demonstrate that the proposed method can accurately segment regions and objects, it outperforms other methods in terms of human visual perception.
AB - In order to overcome the discontinuity in clustering segmentation, a novel color image segmentation algorithm is proposed, which is based on seeds clustering and can locate the seeds of regions quickly. Firstly, the image is divided into a series of non-overlapping blocks with the size of n(n pixels in HSI color space. For each block, the centroid pixel of salient homogeneous region is selected as a feature point of the block. Secondly, based on the principles of color similarity centroids are clustered to obtain the clustered centroids as seeds for region growing. Finally, invalid and noisy regions are merged to get the complete segmentation results. Comparing with other segmentation algorithms, the experimental results demonstrate that the proposed method can accurately segment regions and objects, it outperforms other methods in terms of human visual perception.
KW - color image
KW - image segmentation
KW - region growing
KW - region merging
KW - seeds clustering
UR - http://www.scopus.com/inward/record.url?scp=81855218171&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-24965-5_52
DO - 10.1007/978-3-642-24965-5_52
M3 - Conference contribution
AN - SCOPUS:81855218171
SN - 9783642249648
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 459
EP - 466
BT - Neural Information Processing - 18th International Conference, ICONIP 2011, Proceedings
T2 - 18th International Conference on Neural Information Processing, ICONIP 2011
Y2 - 13 November 2011 through 17 November 2011
ER -