GICEB: automatic segmentation algorithm for biomedical images
Qiqi Wang, Navaneetha Vaidhyanathan, Fijoy Vadakkumpadan, Yinlong Sun · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
Automatic segmentation is an essential problem in biomedical imaging. It is still an open problem to automatically segment biomedical images with complex structures and compositions. This paper proposes a novel algorithm called Gradient-Intensity Clusters and Expanding Boundaries (GICEB). The algorithm attempts to solve the problem with considerations of the image properties in intensity, gradient, and spatial coherence in the image space. The solution is achieved through a combination of using a two-dimensional histogram, domain connectivity in the image space, and segment region growing. The algorithm has been tested on some real images and the results have been evaluated.