In this paper, a novel approach for edge-based image segmentation is proposed. Image segmentation and object extraction play an important role in supporting content-based image
coding, indexing, and retrieval. However, it’s always a tough task to partition an object in a graph-based image. We proposed an image segmentation algorithm by integrating mathematical
morphological edge detector with region growing technique. The images are first enhanced by morphological closing operations, and then detect the edge of the image by morphological dilation residue edge detector. Moreover, we deploy rowing seeds into the edge image that obtained by the edge detection procedure. By cross comparing the growing result and the detected edges, the partition lines of the image are generated. In this paper, we presented the theoretical backgrounds and procedure illustrations of
the proposed algorithm. Furthermore, the proposed algorithm is implemented in C++ language and evaluate on several images with promising results.
Relation:
Systems, Man and Cybernetics, 2005 IEEE International Conference on 3, pp.2962-2967
