Cross validation indicates a small number of morphological shape features are sufficient to distinguish well- and poorly-segmented objects. Five-fold cross validation was executed on the training set, including feature selection in each round of training. Fraction of correctly classified training cases (from a total of 1009) is shown as a function of the number of morphological features in the SVM-RBF classifier. The open circles indicate mean accuracy; the red lines delimit one standard error around the mean. The green horizontal line marks the accuracy for 7 features, which was the minimal number of features for which the accuracy was within one SEM of the maximum.