Adaptive color image segmentation by fusion of multi-color space components
Ju Liu · Computer Engineering and Applications Journal · 2014
This paper proposes a new, simple, and efficient segmentation approach. It chooses the best segmentation components among six different color spaces, then Histogram and SFCM technique is applied for initialization of segmentation. It fuses the segmentation results and merge regions. Extensive experiments have been taken on Berkeley image database by using the proposed algorithm. The results show that, compared with some classical segmentation algorithms, such as Mean-shift, FCR and CTM, etc, the method can achieve better image partitioning and better performance.