Image segmentation is a challenging research topic and a fundamental problem in the field of image processing. Image segmentation is the process of dividing an image into homogeneous regions. There are two approaches for segmentation: Automatic and Interactive. In Automatic image segmentation there is no need of user interaction whereas in interactive image segmentation it requires a minimal user interaction and can achieve better results than automatic segmentation. This work aims at the study, comparison and implementation of automatic and interactive image segmentation. In this work, different algorithms for segmentation are applied after obtaining the user inputs. Level set algorithm, watershed algorithm and Gaussian mixture model is used. Performance of different segmentation algorithms are evaluated and compared.
H. Renjini and Dr. Bhagavathi Sivakumar P., “Comparison of Automatic and Interactive Image Segmentation Methods”, International Journal of Engineering Research & Technology (IJERT), vol. 2, no. 6, pp. 3162-3170, 2013.