This paper presents an evaluation technique based on ROC analysis to compare four segmentation algorithms in coronary angiography images. We have implemented four algorithms and we have optimized their parameters; then, we have compared their performances. Both steps are done by means of a ROC analysis. Experimental results are presented on simulated data and real images.